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You searched for subject:( Artificial Neural Networks ANN ). Showing records 1 – 30 of 33399 total matches.

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University of Texas – Austin

1. Mullapudi, Subhash Venkat. Distributed deep neural networks.

Degree: Electrical and Computer Engineering, 2017, University of Texas – Austin

 Deep neural networks have become popular for solving machine learning problems in the field of computer vision. Although computers have reached parity in the task… (more)

Subjects/Keywords: Distributed; Deep neural networks; Stochastic gradient descent; SGD; Artificial neural networks; ANN; DNN

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APA (6th Edition):

Mullapudi, S. V. (2017). Distributed deep neural networks. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/63752

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mullapudi, Subhash Venkat. “Distributed deep neural networks.” 2017. Thesis, University of Texas – Austin. Accessed March 21, 2019. http://hdl.handle.net/2152/63752.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mullapudi, Subhash Venkat. “Distributed deep neural networks.” 2017. Web. 21 Mar 2019.

Vancouver:

Mullapudi SV. Distributed deep neural networks. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/2152/63752.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mullapudi SV. Distributed deep neural networks. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/63752

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brunel University

2. Sabih, Ann Faik. Cognitive smart agents for optimising OpenFlow rules in software defined networks.

Degree: PhD, 2017, Brunel University

 This research provides a robust solution based on artificial intelligence (AI) techniques to overcome the challenges in Software Defined Networks (SDNs) that can jeopardise the… (more)

Subjects/Keywords: Artificial Neural Networks (ANN); Particle Swarm Optimisation (PSO); Genetic algorithm

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APA (6th Edition):

Sabih, A. F. (2017). Cognitive smart agents for optimising OpenFlow rules in software defined networks. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/15743 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764855

Chicago Manual of Style (16th Edition):

Sabih, Ann Faik. “Cognitive smart agents for optimising OpenFlow rules in software defined networks.” 2017. Doctoral Dissertation, Brunel University. Accessed March 21, 2019. http://bura.brunel.ac.uk/handle/2438/15743 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764855.

MLA Handbook (7th Edition):

Sabih, Ann Faik. “Cognitive smart agents for optimising OpenFlow rules in software defined networks.” 2017. Web. 21 Mar 2019.

Vancouver:

Sabih AF. Cognitive smart agents for optimising OpenFlow rules in software defined networks. [Internet] [Doctoral dissertation]. Brunel University; 2017. [cited 2019 Mar 21]. Available from: http://bura.brunel.ac.uk/handle/2438/15743 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764855.

Council of Science Editors:

Sabih AF. Cognitive smart agents for optimising OpenFlow rules in software defined networks. [Doctoral Dissertation]. Brunel University; 2017. Available from: http://bura.brunel.ac.uk/handle/2438/15743 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.764855

3. Richard, Vincent. Outils de synthèse pour les réseaux réflecteurs exploitant la cellule Phoenix et les réseaux de neurones : Application à l’optimisation d’une antenne spatiale en bande C.

Degree: Docteur es, Télécommunications, 2018, Rennes, INSA

Menée en partenariat avec Thales Alenia Space et le Centre National d’Etudes Spatiales (CNES), cette thèse s’inscrit dans un contexte international très actif sur une… (more)

Subjects/Keywords: Réseaux réflecteurs; Synthèse de réseaux réflecteurs; ANN; Optimisation min / max; Reflectarrays; Artificial neural networks; 621

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APA (6th Edition):

Richard, V. (2018). Outils de synthèse pour les réseaux réflecteurs exploitant la cellule Phoenix et les réseaux de neurones : Application à l’optimisation d’une antenne spatiale en bande C. (Doctoral Dissertation). Rennes, INSA. Retrieved from http://www.theses.fr/2018ISAR0004

Chicago Manual of Style (16th Edition):

Richard, Vincent. “Outils de synthèse pour les réseaux réflecteurs exploitant la cellule Phoenix et les réseaux de neurones : Application à l’optimisation d’une antenne spatiale en bande C.” 2018. Doctoral Dissertation, Rennes, INSA. Accessed March 21, 2019. http://www.theses.fr/2018ISAR0004.

MLA Handbook (7th Edition):

Richard, Vincent. “Outils de synthèse pour les réseaux réflecteurs exploitant la cellule Phoenix et les réseaux de neurones : Application à l’optimisation d’une antenne spatiale en bande C.” 2018. Web. 21 Mar 2019.

Vancouver:

Richard V. Outils de synthèse pour les réseaux réflecteurs exploitant la cellule Phoenix et les réseaux de neurones : Application à l’optimisation d’une antenne spatiale en bande C. [Internet] [Doctoral dissertation]. Rennes, INSA; 2018. [cited 2019 Mar 21]. Available from: http://www.theses.fr/2018ISAR0004.

Council of Science Editors:

Richard V. Outils de synthèse pour les réseaux réflecteurs exploitant la cellule Phoenix et les réseaux de neurones : Application à l’optimisation d’une antenne spatiale en bande C. [Doctoral Dissertation]. Rennes, INSA; 2018. Available from: http://www.theses.fr/2018ISAR0004


Ohio University

4. Lynch, Dustin Shane. Asset Allocation Technique for a Diversified Investment Portfolio Using Artificial Neural Networks.

Degree: MS, Industrial and Systems Engineering (Engineering and Technology), 2015, Ohio University

 As part of planning for the future and retirement, people typically build theirinvestment portfolio. Investment portfolios are made up of four different asset classes,and typically… (more)

Subjects/Keywords: Engineering; Finance; Asset Allocation; Artificial Neural Networks; ANN; Financial Engineering; Investment Portfolio Prediction

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APA (6th Edition):

Lynch, D. S. (2015). Asset Allocation Technique for a Diversified Investment Portfolio Using Artificial Neural Networks. (Masters Thesis). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1432805760

Chicago Manual of Style (16th Edition):

Lynch, Dustin Shane. “Asset Allocation Technique for a Diversified Investment Portfolio Using Artificial Neural Networks.” 2015. Masters Thesis, Ohio University. Accessed March 21, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1432805760.

MLA Handbook (7th Edition):

Lynch, Dustin Shane. “Asset Allocation Technique for a Diversified Investment Portfolio Using Artificial Neural Networks.” 2015. Web. 21 Mar 2019.

Vancouver:

Lynch DS. Asset Allocation Technique for a Diversified Investment Portfolio Using Artificial Neural Networks. [Internet] [Masters thesis]. Ohio University; 2015. [cited 2019 Mar 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1432805760.

Council of Science Editors:

Lynch DS. Asset Allocation Technique for a Diversified Investment Portfolio Using Artificial Neural Networks. [Masters Thesis]. Ohio University; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1432805760


Penn State University

5. Alqahtani, Mari. Shale Gas Reservoirs Development Strategies Via Advanced Well Architectures.

Degree: PhD, Energy and Mineral Engineering, 2015, Penn State University

 The development of unconventional reservoirs relies extensively on Massively Hydraulically Fractured Horizontal Wells (MHFHW) to produce economic production rates. However, as the desired half-length of… (more)

Subjects/Keywords: Shale; Shale Gas; Reservoir Development; ANN; Unconventional Reservoirs; Complex Wells; Artificial Neural Networks

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APA (6th Edition):

Alqahtani, M. (2015). Shale Gas Reservoirs Development Strategies Via Advanced Well Architectures. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/26468

Chicago Manual of Style (16th Edition):

Alqahtani, Mari. “Shale Gas Reservoirs Development Strategies Via Advanced Well Architectures.” 2015. Doctoral Dissertation, Penn State University. Accessed March 21, 2019. https://etda.libraries.psu.edu/catalog/26468.

MLA Handbook (7th Edition):

Alqahtani, Mari. “Shale Gas Reservoirs Development Strategies Via Advanced Well Architectures.” 2015. Web. 21 Mar 2019.

Vancouver:

Alqahtani M. Shale Gas Reservoirs Development Strategies Via Advanced Well Architectures. [Internet] [Doctoral dissertation]. Penn State University; 2015. [cited 2019 Mar 21]. Available from: https://etda.libraries.psu.edu/catalog/26468.

Council of Science Editors:

Alqahtani M. Shale Gas Reservoirs Development Strategies Via Advanced Well Architectures. [Doctoral Dissertation]. Penn State University; 2015. Available from: https://etda.libraries.psu.edu/catalog/26468


Penn State University

6. Chintalapati, Santosh Phani Bhushan. EVALUATION OF PERFORMANCE OF CYCLIC STEAM INJECTION IN NATURALLY FRACTURED RESERVOIRS – AN ARTIFICIAL NEURAL NETWORK APPLICATION.

Degree: MS, Energy and Mineral Engineering, 2011, Penn State University

 With increasing demand on oil, it is important to improve the recovery factor of oil reservoirs. Naturally fractured reservoirs constitute a major portion of world’s… (more)

Subjects/Keywords: ANN; sensitive analysis; Artificial Neural Networks; Cyclic steam injection; Naturally fractured reservoirs; GUI

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APA (6th Edition):

Chintalapati, S. P. B. (2011). EVALUATION OF PERFORMANCE OF CYCLIC STEAM INJECTION IN NATURALLY FRACTURED RESERVOIRS – AN ARTIFICIAL NEURAL NETWORK APPLICATION. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/12458

Chicago Manual of Style (16th Edition):

Chintalapati, Santosh Phani Bhushan. “EVALUATION OF PERFORMANCE OF CYCLIC STEAM INJECTION IN NATURALLY FRACTURED RESERVOIRS – AN ARTIFICIAL NEURAL NETWORK APPLICATION.” 2011. Masters Thesis, Penn State University. Accessed March 21, 2019. https://etda.libraries.psu.edu/catalog/12458.

MLA Handbook (7th Edition):

Chintalapati, Santosh Phani Bhushan. “EVALUATION OF PERFORMANCE OF CYCLIC STEAM INJECTION IN NATURALLY FRACTURED RESERVOIRS – AN ARTIFICIAL NEURAL NETWORK APPLICATION.” 2011. Web. 21 Mar 2019.

Vancouver:

Chintalapati SPB. EVALUATION OF PERFORMANCE OF CYCLIC STEAM INJECTION IN NATURALLY FRACTURED RESERVOIRS – AN ARTIFICIAL NEURAL NETWORK APPLICATION. [Internet] [Masters thesis]. Penn State University; 2011. [cited 2019 Mar 21]. Available from: https://etda.libraries.psu.edu/catalog/12458.

Council of Science Editors:

Chintalapati SPB. EVALUATION OF PERFORMANCE OF CYCLIC STEAM INJECTION IN NATURALLY FRACTURED RESERVOIRS – AN ARTIFICIAL NEURAL NETWORK APPLICATION. [Masters Thesis]. Penn State University; 2011. Available from: https://etda.libraries.psu.edu/catalog/12458


University of the Western Cape

7. Altayeb, Abdalmajid I. H. Comprehensive fluid saturation study for the Fula North field Muglad Basin, Sudan .

Degree: 2016, University of the Western Cape

 This study has been conducted to accurately determine fluid saturation within Fula sub-basin reservoirs which is located at the Southern part of the Republic of… (more)

Subjects/Keywords: Artificial Neural Networks (ANN); Muglad Basin; Sudan; Water saturation; Fula sub-basin reservoirs; Facies (Geology)

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APA (6th Edition):

Altayeb, A. I. H. (2016). Comprehensive fluid saturation study for the Fula North field Muglad Basin, Sudan . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/5442

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Altayeb, Abdalmajid I H. “Comprehensive fluid saturation study for the Fula North field Muglad Basin, Sudan .” 2016. Thesis, University of the Western Cape. Accessed March 21, 2019. http://hdl.handle.net/11394/5442.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Altayeb, Abdalmajid I H. “Comprehensive fluid saturation study for the Fula North field Muglad Basin, Sudan .” 2016. Web. 21 Mar 2019.

Vancouver:

Altayeb AIH. Comprehensive fluid saturation study for the Fula North field Muglad Basin, Sudan . [Internet] [Thesis]. University of the Western Cape; 2016. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/11394/5442.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Altayeb AIH. Comprehensive fluid saturation study for the Fula North field Muglad Basin, Sudan . [Thesis]. University of the Western Cape; 2016. Available from: http://hdl.handle.net/11394/5442

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

8. Norman, Gustaf. Sensor Validation Using Linear Parametric Models, Artificial Neural Networks and CUSUM.

Degree: Faculty of Science & Engineering, 2015, Linköping UniversityLinköping University

  Siemens gas turbines are monitored and controlled by a large number of sensors and actuators. Process information is stored in a database and used… (more)

Subjects/Keywords: Sensor Validation; Linear Parametric Models; Artificial Neural Networks; ANN; Fault Detection; CUSUM

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APA (6th Edition):

Norman, G. (2015). Sensor Validation Using Linear Parametric Models, Artificial Neural Networks and CUSUM. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-119004

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Norman, Gustaf. “Sensor Validation Using Linear Parametric Models, Artificial Neural Networks and CUSUM.” 2015. Thesis, Linköping UniversityLinköping University. Accessed March 21, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-119004.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Norman, Gustaf. “Sensor Validation Using Linear Parametric Models, Artificial Neural Networks and CUSUM.” 2015. Web. 21 Mar 2019.

Vancouver:

Norman G. Sensor Validation Using Linear Parametric Models, Artificial Neural Networks and CUSUM. [Internet] [Thesis]. Linköping UniversityLinköping University; 2015. [cited 2019 Mar 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-119004.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Norman G. Sensor Validation Using Linear Parametric Models, Artificial Neural Networks and CUSUM. [Thesis]. Linköping UniversityLinköping University; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-119004

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Ohio University

9. Anderson, Jerone S. A Study of Nutrient Dynamics in Old Woman Creek Using Artificial Neural Networks and Bayesian Belief Networks.

Degree: MS, Industrial and Systems Engineering (Engineering and Technology), 2009, Ohio University

 The Old Woman Creek National Estuary is studied in this project to evaluate effective modelling techniques for predicting Net Ecosystem Metabolism (NEM). NEM is modelled… (more)

Subjects/Keywords: Ecology; Engineering; Environmental Engineering; Industrial Engineering; BBN; ANN; ecology; NEM; Bayesian Belief Networks; Artificial Neural Networks; computer modelling

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APA (6th Edition):

Anderson, J. S. (2009). A Study of Nutrient Dynamics in Old Woman Creek Using Artificial Neural Networks and Bayesian Belief Networks. (Masters Thesis). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1242921000

Chicago Manual of Style (16th Edition):

Anderson, Jerone S. “A Study of Nutrient Dynamics in Old Woman Creek Using Artificial Neural Networks and Bayesian Belief Networks.” 2009. Masters Thesis, Ohio University. Accessed March 21, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1242921000.

MLA Handbook (7th Edition):

Anderson, Jerone S. “A Study of Nutrient Dynamics in Old Woman Creek Using Artificial Neural Networks and Bayesian Belief Networks.” 2009. Web. 21 Mar 2019.

Vancouver:

Anderson JS. A Study of Nutrient Dynamics in Old Woman Creek Using Artificial Neural Networks and Bayesian Belief Networks. [Internet] [Masters thesis]. Ohio University; 2009. [cited 2019 Mar 21]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1242921000.

Council of Science Editors:

Anderson JS. A Study of Nutrient Dynamics in Old Woman Creek Using Artificial Neural Networks and Bayesian Belief Networks. [Masters Thesis]. Ohio University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1242921000


Universiteit Utrecht

10. Tekofsky, S. Using an Artificial Neural Network for Predicting Reaction Time Based on Physiological Data.

Degree: 2012, Universiteit Utrecht

 In this thesis findings are described in relation to the accuracy of predicting an individual’s reaction times based on his physiological variables with the use… (more)

Subjects/Keywords: ANN; artificial neural network; reaction time; physiology

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APA (6th Edition):

Tekofsky, S. (2012). Using an Artificial Neural Network for Predicting Reaction Time Based on Physiological Data. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/253424

Chicago Manual of Style (16th Edition):

Tekofsky, S. “Using an Artificial Neural Network for Predicting Reaction Time Based on Physiological Data.” 2012. Masters Thesis, Universiteit Utrecht. Accessed March 21, 2019. http://dspace.library.uu.nl:8080/handle/1874/253424.

MLA Handbook (7th Edition):

Tekofsky, S. “Using an Artificial Neural Network for Predicting Reaction Time Based on Physiological Data.” 2012. Web. 21 Mar 2019.

Vancouver:

Tekofsky S. Using an Artificial Neural Network for Predicting Reaction Time Based on Physiological Data. [Internet] [Masters thesis]. Universiteit Utrecht; 2012. [cited 2019 Mar 21]. Available from: http://dspace.library.uu.nl:8080/handle/1874/253424.

Council of Science Editors:

Tekofsky S. Using an Artificial Neural Network for Predicting Reaction Time Based on Physiological Data. [Masters Thesis]. Universiteit Utrecht; 2012. Available from: http://dspace.library.uu.nl:8080/handle/1874/253424

11. Yasarer, Hakan. Decision making in engineering prediction systems.

Degree: PhD, Department of Civil Engineering, 2013, Kansas State University

 Access to databases after the digital revolutions has become easier because large databases are progressively available. Knowledge discovery in these databases via intelligent data analysis… (more)

Subjects/Keywords: Decision making; Artificial neural networks; Auto-associative networks; Feedback ANN network; Partially missing datasets; New approaches to artificial neural network; Civil Engineering (0543)

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APA (6th Edition):

Yasarer, H. (2013). Decision making in engineering prediction systems. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/16231

Chicago Manual of Style (16th Edition):

Yasarer, Hakan. “Decision making in engineering prediction systems.” 2013. Doctoral Dissertation, Kansas State University. Accessed March 21, 2019. http://hdl.handle.net/2097/16231.

MLA Handbook (7th Edition):

Yasarer, Hakan. “Decision making in engineering prediction systems.” 2013. Web. 21 Mar 2019.

Vancouver:

Yasarer H. Decision making in engineering prediction systems. [Internet] [Doctoral dissertation]. Kansas State University; 2013. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/2097/16231.

Council of Science Editors:

Yasarer H. Decision making in engineering prediction systems. [Doctoral Dissertation]. Kansas State University; 2013. Available from: http://hdl.handle.net/2097/16231


University of Georgia

12. Crowell, Kevin Lee. Precipitation prediction using artificial neural networks.

Degree: MS, Artificial Intelligence, 2008, University of Georgia

 Precipitation, in meteorology, is defined as any product, liquid or solid, of atmospheric water vapor that is accumulated onto the earth’s surface. Water, and thus… (more)

Subjects/Keywords: Artificial Neural Networks

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APA (6th Edition):

Crowell, K. L. (2008). Precipitation prediction using artificial neural networks. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/crowell_kevin_l_200812_ms

Chicago Manual of Style (16th Edition):

Crowell, Kevin Lee. “Precipitation prediction using artificial neural networks.” 2008. Masters Thesis, University of Georgia. Accessed March 21, 2019. http://purl.galileo.usg.edu/uga_etd/crowell_kevin_l_200812_ms.

MLA Handbook (7th Edition):

Crowell, Kevin Lee. “Precipitation prediction using artificial neural networks.” 2008. Web. 21 Mar 2019.

Vancouver:

Crowell KL. Precipitation prediction using artificial neural networks. [Internet] [Masters thesis]. University of Georgia; 2008. [cited 2019 Mar 21]. Available from: http://purl.galileo.usg.edu/uga_etd/crowell_kevin_l_200812_ms.

Council of Science Editors:

Crowell KL. Precipitation prediction using artificial neural networks. [Masters Thesis]. University of Georgia; 2008. Available from: http://purl.galileo.usg.edu/uga_etd/crowell_kevin_l_200812_ms


University of Georgia

13. Martin, Charles Maxwell. Crop yield prediction using artificial neural networks and genetic algorithms.

Degree: MS, Artificial Intelligence, 2009, University of Georgia

 Previous research has established that large-scale climatological phenomena influence local weather conditions in various parts of the world. These weather conditions have a direct effect… (more)

Subjects/Keywords: Artificial Neural Networks

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APA (6th Edition):

Martin, C. M. (2009). Crop yield prediction using artificial neural networks and genetic algorithms. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/martin_charles_m_200912_ms

Chicago Manual of Style (16th Edition):

Martin, Charles Maxwell. “Crop yield prediction using artificial neural networks and genetic algorithms.” 2009. Masters Thesis, University of Georgia. Accessed March 21, 2019. http://purl.galileo.usg.edu/uga_etd/martin_charles_m_200912_ms.

MLA Handbook (7th Edition):

Martin, Charles Maxwell. “Crop yield prediction using artificial neural networks and genetic algorithms.” 2009. Web. 21 Mar 2019.

Vancouver:

Martin CM. Crop yield prediction using artificial neural networks and genetic algorithms. [Internet] [Masters thesis]. University of Georgia; 2009. [cited 2019 Mar 21]. Available from: http://purl.galileo.usg.edu/uga_etd/martin_charles_m_200912_ms.

Council of Science Editors:

Martin CM. Crop yield prediction using artificial neural networks and genetic algorithms. [Masters Thesis]. University of Georgia; 2009. Available from: http://purl.galileo.usg.edu/uga_etd/martin_charles_m_200912_ms

14. Antonio Junior Alves Ribeiro. Um MÃtodo para localizaÃÃo e estimaÃÃo das caracterÃsticas geotÃcnicas dos solos da regiÃo metropolitana de Fortaleza-Ce para fins de pavimentaÃÃo.

Degree: Master, 2013, Universidade Federal do Ceará

Esta investigaÃÃo propÃe o desenvolvimento de um mÃtodo para a localizaÃÃo e prediÃÃo das caracterÃsticas geotÃcnicas dos solos que possa contribuir para o processo da… (more)

Subjects/Keywords: ENGENHARIA DE TRANSPORTES; Redes neurais artificiais; Pavimentos; Geocartografia; Geoprocessamento; Artificial Neural Networks (ANN); Paving; Classification TRB; CBR; Geotechnical Modeling; Geomapping; Geoprocessing

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APA (6th Edition):

Ribeiro, A. J. A. (2013). Um MÃtodo para localizaÃÃo e estimaÃÃo das caracterÃsticas geotÃcnicas dos solos da regiÃo metropolitana de Fortaleza-Ce para fins de pavimentaÃÃo. (Masters Thesis). Universidade Federal do Ceará. Retrieved from http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=9859 ;

Chicago Manual of Style (16th Edition):

Ribeiro, Antonio Junior Alves. “Um MÃtodo para localizaÃÃo e estimaÃÃo das caracterÃsticas geotÃcnicas dos solos da regiÃo metropolitana de Fortaleza-Ce para fins de pavimentaÃÃo.” 2013. Masters Thesis, Universidade Federal do Ceará. Accessed March 21, 2019. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=9859 ;.

MLA Handbook (7th Edition):

Ribeiro, Antonio Junior Alves. “Um MÃtodo para localizaÃÃo e estimaÃÃo das caracterÃsticas geotÃcnicas dos solos da regiÃo metropolitana de Fortaleza-Ce para fins de pavimentaÃÃo.” 2013. Web. 21 Mar 2019.

Vancouver:

Ribeiro AJA. Um MÃtodo para localizaÃÃo e estimaÃÃo das caracterÃsticas geotÃcnicas dos solos da regiÃo metropolitana de Fortaleza-Ce para fins de pavimentaÃÃo. [Internet] [Masters thesis]. Universidade Federal do Ceará 2013. [cited 2019 Mar 21]. Available from: http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=9859 ;.

Council of Science Editors:

Ribeiro AJA. Um MÃtodo para localizaÃÃo e estimaÃÃo das caracterÃsticas geotÃcnicas dos solos da regiÃo metropolitana de Fortaleza-Ce para fins de pavimentaÃÃo. [Masters Thesis]. Universidade Federal do Ceará 2013. Available from: http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=9859 ;

15. Chamanirad, Mohsen. Design and implementation of controller for robotic manipulators using Artificial Neural Networks.

Degree: Design and Engineering, 2009, Mälardalen University

  In this thesis a novel method for controlling a manipulator with arbitrary number of Degrees of freedom is proposed, the proposed method has the… (more)

Subjects/Keywords: robotics; manipulator; control; ANN; artificial neural networks; Electrical engineering, electronics and photonics; Elektroteknik, elektronik och fotonik

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chamanirad, M. (2009). Design and implementation of controller for robotic manipulators using Artificial Neural Networks. (Thesis). Mälardalen University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-6297

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chamanirad, Mohsen. “Design and implementation of controller for robotic manipulators using Artificial Neural Networks.” 2009. Thesis, Mälardalen University. Accessed March 21, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-6297.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chamanirad, Mohsen. “Design and implementation of controller for robotic manipulators using Artificial Neural Networks.” 2009. Web. 21 Mar 2019.

Vancouver:

Chamanirad M. Design and implementation of controller for robotic manipulators using Artificial Neural Networks. [Internet] [Thesis]. Mälardalen University; 2009. [cited 2019 Mar 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-6297.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chamanirad M. Design and implementation of controller for robotic manipulators using Artificial Neural Networks. [Thesis]. Mälardalen University; 2009. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-6297

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

16. José Antônio Moreira de Rezende. Efeitos da Segmentação em Sistemas Híbridos ANN+HMM.

Degree: 2005, Instituto Nacional de Telecomunicações

The Hidden Markov Models has become the widely used speech recognition framework due to its solid probabilistic approach. However, this robustness is damaged when the… (more)

Subjects/Keywords: Modelos ocultos de Markov; REMAP; TELECOMUNICACOES; modelos híbridos ANN+HMM; REMAP; Hidden Markov models; hybrid models ANN+HMM; artificial neural networks; efeitos de segmentação; redes neurais artificiais; segmentation effects

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Rezende, J. A. M. d. (2005). Efeitos da Segmentação em Sistemas Híbridos ANN+HMM. (Thesis). Instituto Nacional de Telecomunicações. Retrieved from http://tede.inatel.br/tde_busca/arquivo.php?codArquivo=99

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rezende, José Antônio Moreira de. “Efeitos da Segmentação em Sistemas Híbridos ANN+HMM.” 2005. Thesis, Instituto Nacional de Telecomunicações. Accessed March 21, 2019. http://tede.inatel.br/tde_busca/arquivo.php?codArquivo=99.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rezende, José Antônio Moreira de. “Efeitos da Segmentação em Sistemas Híbridos ANN+HMM.” 2005. Web. 21 Mar 2019.

Vancouver:

Rezende JAMd. Efeitos da Segmentação em Sistemas Híbridos ANN+HMM. [Internet] [Thesis]. Instituto Nacional de Telecomunicações; 2005. [cited 2019 Mar 21]. Available from: http://tede.inatel.br/tde_busca/arquivo.php?codArquivo=99.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rezende JAMd. Efeitos da Segmentação em Sistemas Híbridos ANN+HMM. [Thesis]. Instituto Nacional de Telecomunicações; 2005. Available from: http://tede.inatel.br/tde_busca/arquivo.php?codArquivo=99

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Indian Institute of Science

17. Janakiraman, V. Statistical Leakage Analysis Framework Using Artificial Neural Networks Considering Process And Environmental Variations.

Degree: 2011, Indian Institute of Science

 Leakage current and process variations are two primary hurdles in modern VLSI design. It depends exponentially on process and environmental parameters and hence small variations… (more)

Subjects/Keywords: Neural Networks; Artificial Intelligence; Statistical Leakage Analysis (SLA); Leakage Modelling; Artificial Neural Network (ANN); Leakage Models; Statistical Leakage Characterization; Leakage Current; Computer Science

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Janakiraman, V. (2011). Statistical Leakage Analysis Framework Using Artificial Neural Networks Considering Process And Environmental Variations. (Thesis). Indian Institute of Science. Retrieved from http://hdl.handle.net/2005/2098

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Janakiraman, V. “Statistical Leakage Analysis Framework Using Artificial Neural Networks Considering Process And Environmental Variations.” 2011. Thesis, Indian Institute of Science. Accessed March 21, 2019. http://hdl.handle.net/2005/2098.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Janakiraman, V. “Statistical Leakage Analysis Framework Using Artificial Neural Networks Considering Process And Environmental Variations.” 2011. Web. 21 Mar 2019.

Vancouver:

Janakiraman V. Statistical Leakage Analysis Framework Using Artificial Neural Networks Considering Process And Environmental Variations. [Internet] [Thesis]. Indian Institute of Science; 2011. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/2005/2098.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Janakiraman V. Statistical Leakage Analysis Framework Using Artificial Neural Networks Considering Process And Environmental Variations. [Thesis]. Indian Institute of Science; 2011. Available from: http://hdl.handle.net/2005/2098

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Indian Institute of Science

18. Janakiraman, V. Statistical Leakage Analysis Framework Using Artificial Neural Networks Considering Process And Environmental Variations.

Degree: 2011, Indian Institute of Science

 Leakage current and process variations are two primary hurdles in modern VLSI design. It depends exponentially on process and environmental parameters and hence small variations… (more)

Subjects/Keywords: Neural Networks; Artificial Intelligence; Statistical Leakage Analysis (SLA); Leakage Modelling; Artificial Neural Network (ANN); Leakage Models; Statistical Leakage Characterization; Leakage Current; Computer Science

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Janakiraman, V. (2011). Statistical Leakage Analysis Framework Using Artificial Neural Networks Considering Process And Environmental Variations. (Thesis). Indian Institute of Science. Retrieved from http://etd.iisc.ernet.in/handle/2005/2098 ; http://etd.ncsi.iisc.ernet.in/abstracts/2699/G24437-Abs.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Janakiraman, V. “Statistical Leakage Analysis Framework Using Artificial Neural Networks Considering Process And Environmental Variations.” 2011. Thesis, Indian Institute of Science. Accessed March 21, 2019. http://etd.iisc.ernet.in/handle/2005/2098 ; http://etd.ncsi.iisc.ernet.in/abstracts/2699/G24437-Abs.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Janakiraman, V. “Statistical Leakage Analysis Framework Using Artificial Neural Networks Considering Process And Environmental Variations.” 2011. Web. 21 Mar 2019.

Vancouver:

Janakiraman V. Statistical Leakage Analysis Framework Using Artificial Neural Networks Considering Process And Environmental Variations. [Internet] [Thesis]. Indian Institute of Science; 2011. [cited 2019 Mar 21]. Available from: http://etd.iisc.ernet.in/handle/2005/2098 ; http://etd.ncsi.iisc.ernet.in/abstracts/2699/G24437-Abs.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Janakiraman V. Statistical Leakage Analysis Framework Using Artificial Neural Networks Considering Process And Environmental Variations. [Thesis]. Indian Institute of Science; 2011. Available from: http://etd.iisc.ernet.in/handle/2005/2098 ; http://etd.ncsi.iisc.ernet.in/abstracts/2699/G24437-Abs.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of KwaZulu-Natal

19. [No author]. Modelling of hydrogen production bioprocess using Artificial Neural Networks (ANN).

Degree: 2016, University of KwaZulu-Natal

Abstract available in PDF file. Advisors/Committee Members: Kana, E. B. Gueguim (advisor).

Subjects/Keywords: Neural networks (Neurobiology)  – Computer simulation.; Biomass energy.; Hydrogenation.; Microbiology.; Artificial Neural Networks (ANN)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

author], [. (2016). Modelling of hydrogen production bioprocess using Artificial Neural Networks (ANN). (Thesis). University of KwaZulu-Natal. Retrieved from http://hdl.handle.net/10413/13952

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

author], [No. “Modelling of hydrogen production bioprocess using Artificial Neural Networks (ANN). ” 2016. Thesis, University of KwaZulu-Natal. Accessed March 21, 2019. http://hdl.handle.net/10413/13952.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

author], [No. “Modelling of hydrogen production bioprocess using Artificial Neural Networks (ANN). ” 2016. Web. 21 Mar 2019.

Vancouver:

author] [. Modelling of hydrogen production bioprocess using Artificial Neural Networks (ANN). [Internet] [Thesis]. University of KwaZulu-Natal; 2016. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/10413/13952.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

author] [. Modelling of hydrogen production bioprocess using Artificial Neural Networks (ANN). [Thesis]. University of KwaZulu-Natal; 2016. Available from: http://hdl.handle.net/10413/13952

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

20. Dahl, Jonas. Feature Selection for Sentiment Analysis of Swedish News Article Titles.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

The aim of this study was to elaborate the possibilities of sentiment analyzing Swedish news article titles using machine learning approaches and find how… (more)

Subjects/Keywords: sentiment analysis; machine learning; sentiments; ml; ai; neural networks; ann; artificial neural networks; convolutional neural network; cnn; language technology; natural language; news; titles; Swedish; sentimentanalys; maskininlärning; sentiment; ml; ai; neuronnät; ann; artificiella neuronnät; cnn; nyheter; nyhetsrubriker; språkteknologi; Computer Sciences; Datavetenskap (datalogi)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dahl, J. (2018). Feature Selection for Sentiment Analysis of Swedish News Article Titles. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233534

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dahl, Jonas. “Feature Selection for Sentiment Analysis of Swedish News Article Titles.” 2018. Thesis, KTH. Accessed March 21, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233534.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dahl, Jonas. “Feature Selection for Sentiment Analysis of Swedish News Article Titles.” 2018. Web. 21 Mar 2019.

Vancouver:

Dahl J. Feature Selection for Sentiment Analysis of Swedish News Article Titles. [Internet] [Thesis]. KTH; 2018. [cited 2019 Mar 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233534.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dahl J. Feature Selection for Sentiment Analysis of Swedish News Article Titles. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233534

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


KTH

21. Hensman, Paulina. Intra-prediction for Video Coding with Neural Networks.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

Intra-prediction is a method for coding standalone frames in video coding. Until now, this has mainly been done using linear formulae. Using an Artificial(more)

Subjects/Keywords: video coding; video compression; intra-prediction; ann; cnn; fcn; artificial neural networks; convolutional neural networks; fully connected networks; hevc; videokodning; videokomprimering; intra-prediktion; ann; cnn; fcn; hevc; Computer Sciences; Datavetenskap (datalogi)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hensman, P. (2018). Intra-prediction for Video Coding with Neural Networks. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-224197

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hensman, Paulina. “Intra-prediction for Video Coding with Neural Networks.” 2018. Thesis, KTH. Accessed March 21, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-224197.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hensman, Paulina. “Intra-prediction for Video Coding with Neural Networks.” 2018. Web. 21 Mar 2019.

Vancouver:

Hensman P. Intra-prediction for Video Coding with Neural Networks. [Internet] [Thesis]. KTH; 2018. [cited 2019 Mar 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-224197.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hensman P. Intra-prediction for Video Coding with Neural Networks. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-224197

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Johannesburg

22. De Wet, Anton Petrus Christiaan. An incremental learning system for artificial neural networks.

Degree: 2014, University of Johannesburg

M.Ing. (Electrical And Electronic Engineering)

This dissertation describes the development of a system of Artificial Neural Networks that enables the incremental training of feed forward… (more)

Subjects/Keywords: Neural networks (Computer science); Artificial Neural Networks

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

De Wet, A. P. C. (2014). An incremental learning system for artificial neural networks. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/12024

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

De Wet, Anton Petrus Christiaan. “An incremental learning system for artificial neural networks.” 2014. Thesis, University of Johannesburg. Accessed March 21, 2019. http://hdl.handle.net/10210/12024.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

De Wet, Anton Petrus Christiaan. “An incremental learning system for artificial neural networks.” 2014. Web. 21 Mar 2019.

Vancouver:

De Wet APC. An incremental learning system for artificial neural networks. [Internet] [Thesis]. University of Johannesburg; 2014. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/10210/12024.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

De Wet APC. An incremental learning system for artificial neural networks. [Thesis]. University of Johannesburg; 2014. Available from: http://hdl.handle.net/10210/12024

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

23. Volf, Petr. Využití umělé inteligence na komoditních trzích .

Degree: 2015, Brno University of Technology

 Tato diplomová práce se zabývá problematikou obchodování na komoditních trzích. Řešení problematiky spočívá ve využití umělé inteligence, konkrétně neuronových sítí, k technické analýze vývoje ceny… (more)

Subjects/Keywords: Unělé neuronové sítě; umělá inteligence; komoditní trhy; komodity; obchodování; predikce; předpověď; MATLAB.; Artificial Neural Networks; ANN; artificial intelligence; commodity market; commodities; trading; prediction; MATLAB; futures.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Volf, P. (2015). Využití umělé inteligence na komoditních trzích . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/39545

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Volf, Petr. “Využití umělé inteligence na komoditních trzích .” 2015. Thesis, Brno University of Technology. Accessed March 21, 2019. http://hdl.handle.net/11012/39545.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Volf, Petr. “Využití umělé inteligence na komoditních trzích .” 2015. Web. 21 Mar 2019.

Vancouver:

Volf P. Využití umělé inteligence na komoditních trzích . [Internet] [Thesis]. Brno University of Technology; 2015. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/11012/39545.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Volf P. Využití umělé inteligence na komoditních trzích . [Thesis]. Brno University of Technology; 2015. Available from: http://hdl.handle.net/11012/39545

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

24. Sujatha P. Image steganalysis using artificial neural networks.

Degree: Computing Sciences, 2013, Vels University

This research work presents the steganalysis of steganographic images under predefined way of hiding information. Hiding information in the cover image is done by different… (more)

Subjects/Keywords: Computing Sciences; Artificial Neural Networks

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APA (6th Edition):

P, S. (2013). Image steganalysis using artificial neural networks. (Thesis). Vels University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/8912

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

P, Sujatha. “Image steganalysis using artificial neural networks.” 2013. Thesis, Vels University. Accessed March 21, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/8912.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

P, Sujatha. “Image steganalysis using artificial neural networks.” 2013. Web. 21 Mar 2019.

Vancouver:

P S. Image steganalysis using artificial neural networks. [Internet] [Thesis]. Vels University; 2013. [cited 2019 Mar 21]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/8912.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

P S. Image steganalysis using artificial neural networks. [Thesis]. Vels University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/8912

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Canterbury

25. Orr, Ewan. Evolving Turing's Artificial Neural Networks.

Degree: Department of Physics and Astronomy, 2010, University of Canterbury

 Our project uses ideas first presented by Alan Turing. Turing's immense contribution to mathematics and computer science is widely known, but his pioneering work in… (more)

Subjects/Keywords: Turing; artificial neural networks

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Orr, E. (2010). Evolving Turing's Artificial Neural Networks. (Thesis). University of Canterbury. Retrieved from http://hdl.handle.net/10092/4620

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Orr, Ewan. “Evolving Turing's Artificial Neural Networks.” 2010. Thesis, University of Canterbury. Accessed March 21, 2019. http://hdl.handle.net/10092/4620.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Orr, Ewan. “Evolving Turing's Artificial Neural Networks.” 2010. Web. 21 Mar 2019.

Vancouver:

Orr E. Evolving Turing's Artificial Neural Networks. [Internet] [Thesis]. University of Canterbury; 2010. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/10092/4620.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Orr E. Evolving Turing's Artificial Neural Networks. [Thesis]. University of Canterbury; 2010. Available from: http://hdl.handle.net/10092/4620

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Waterloo

26. Ashoor, Ahmed. Artificial Neural Networks for Microwave Detection.

Degree: 2012, University of Waterloo

 Microwave detection techniques based on the theory of perturbation of cavity resonators are commonly used to measure the permittivity and permeability of objects of dielectric… (more)

Subjects/Keywords: artificial neural networks; microwave detection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ashoor, A. (2012). Artificial Neural Networks for Microwave Detection. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/6766

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ashoor, Ahmed. “Artificial Neural Networks for Microwave Detection.” 2012. Thesis, University of Waterloo. Accessed March 21, 2019. http://hdl.handle.net/10012/6766.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ashoor, Ahmed. “Artificial Neural Networks for Microwave Detection.” 2012. Web. 21 Mar 2019.

Vancouver:

Ashoor A. Artificial Neural Networks for Microwave Detection. [Internet] [Thesis]. University of Waterloo; 2012. [cited 2019 Mar 21]. Available from: http://hdl.handle.net/10012/6766.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ashoor A. Artificial Neural Networks for Microwave Detection. [Thesis]. University of Waterloo; 2012. Available from: http://hdl.handle.net/10012/6766

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Vermont

27. Detwiler, Luke. Using Backpropagation Neural Networks for the Prediction of Residual Shear Strength of Cohesive Soils.

Degree: College of Engineering and Mathematical Sciences, 2014, University of Vermont

  A complex nonlinear relationship exists between indicative soil parameters (liquid limit, plastic limit, clay fraction, sand fraction, and normal stress loading) and drained secant… (more)

Subjects/Keywords: Artificial Neural Network; Backpropagation; ANN; BPNN; Residual Friction Angle; Predict

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Detwiler, L. (2014). Using Backpropagation Neural Networks for the Prediction of Residual Shear Strength of Cohesive Soils. (Thesis). University of Vermont. Retrieved from https://scholarworks.uvm.edu/hcoltheses/12

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Detwiler, Luke. “Using Backpropagation Neural Networks for the Prediction of Residual Shear Strength of Cohesive Soils.” 2014. Thesis, University of Vermont. Accessed March 21, 2019. https://scholarworks.uvm.edu/hcoltheses/12.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Detwiler, Luke. “Using Backpropagation Neural Networks for the Prediction of Residual Shear Strength of Cohesive Soils.” 2014. Web. 21 Mar 2019.

Vancouver:

Detwiler L. Using Backpropagation Neural Networks for the Prediction of Residual Shear Strength of Cohesive Soils. [Internet] [Thesis]. University of Vermont; 2014. [cited 2019 Mar 21]. Available from: https://scholarworks.uvm.edu/hcoltheses/12.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Detwiler L. Using Backpropagation Neural Networks for the Prediction of Residual Shear Strength of Cohesive Soils. [Thesis]. University of Vermont; 2014. Available from: https://scholarworks.uvm.edu/hcoltheses/12

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

28. Thaker, Kandarp K. Electrokinetic remediation of contaminated soils; -.

Degree: Engineering, 2012, Nirma University

Environmental degradation has become a major societal issue. It is a result of uncontrolled anthropogenic activity, besides natural factors. There is a growing need for… (more)

Subjects/Keywords: Electromigration; Electrokinetic remediation; multivariate regression; artificial neural network; ANN; Electroosmosis; soils

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Thaker, K. K. (2012). Electrokinetic remediation of contaminated soils; -. (Thesis). Nirma University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/9719

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Thaker, Kandarp K. “Electrokinetic remediation of contaminated soils; -.” 2012. Thesis, Nirma University. Accessed March 21, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/9719.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Thaker, Kandarp K. “Electrokinetic remediation of contaminated soils; -.” 2012. Web. 21 Mar 2019.

Vancouver:

Thaker KK. Electrokinetic remediation of contaminated soils; -. [Internet] [Thesis]. Nirma University; 2012. [cited 2019 Mar 21]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/9719.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Thaker KK. Electrokinetic remediation of contaminated soils; -. [Thesis]. Nirma University; 2012. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/9719

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

29. Lu, Jia. Rate Transient Analysis Of Dual Lateral Wells In Naturally Fractured Reservoirs Via Artificial Intelligence.

Degree: MS, Energy and Mineral Engineering, 2015, Penn State University

 In naturally fractured reservoirs, reservoir characterization is critical to the production of hydrocarbon, including but not limited to porosity, permeability, pay zone thickness and fracture… (more)

Subjects/Keywords: Artificial Neural Network; ANN; Dual-Lateral; Double Porosity; Jia; Lu; Ertekin

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lu, J. (2015). Rate Transient Analysis Of Dual Lateral Wells In Naturally Fractured Reservoirs Via Artificial Intelligence. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/25564

Chicago Manual of Style (16th Edition):

Lu, Jia. “Rate Transient Analysis Of Dual Lateral Wells In Naturally Fractured Reservoirs Via Artificial Intelligence.” 2015. Masters Thesis, Penn State University. Accessed March 21, 2019. https://etda.libraries.psu.edu/catalog/25564.

MLA Handbook (7th Edition):

Lu, Jia. “Rate Transient Analysis Of Dual Lateral Wells In Naturally Fractured Reservoirs Via Artificial Intelligence.” 2015. Web. 21 Mar 2019.

Vancouver:

Lu J. Rate Transient Analysis Of Dual Lateral Wells In Naturally Fractured Reservoirs Via Artificial Intelligence. [Internet] [Masters thesis]. Penn State University; 2015. [cited 2019 Mar 21]. Available from: https://etda.libraries.psu.edu/catalog/25564.

Council of Science Editors:

Lu J. Rate Transient Analysis Of Dual Lateral Wells In Naturally Fractured Reservoirs Via Artificial Intelligence. [Masters Thesis]. Penn State University; 2015. Available from: https://etda.libraries.psu.edu/catalog/25564


Penn State University

30. Zhong, Xuwei. Pressure Transient Analysis of Shale Gas Reservoirs with Horizontal Boreholes: An Artificial Intelligence Based Approach.

Degree: 2018, Penn State University

 In common oil and gas industry, obtaining reservoir properties is critical to field development. Well testing has been one of the important tools to estimate… (more)

Subjects/Keywords: Artificial Neural Network; Pressure Transient Analysis; ANN; PTA; Shale Gas Reservoir

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhong, X. (2018). Pressure Transient Analysis of Shale Gas Reservoirs with Horizontal Boreholes: An Artificial Intelligence Based Approach. (Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/15774xqz5129

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhong, Xuwei. “Pressure Transient Analysis of Shale Gas Reservoirs with Horizontal Boreholes: An Artificial Intelligence Based Approach.” 2018. Thesis, Penn State University. Accessed March 21, 2019. https://etda.libraries.psu.edu/catalog/15774xqz5129.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhong, Xuwei. “Pressure Transient Analysis of Shale Gas Reservoirs with Horizontal Boreholes: An Artificial Intelligence Based Approach.” 2018. Web. 21 Mar 2019.

Vancouver:

Zhong X. Pressure Transient Analysis of Shale Gas Reservoirs with Horizontal Boreholes: An Artificial Intelligence Based Approach. [Internet] [Thesis]. Penn State University; 2018. [cited 2019 Mar 21]. Available from: https://etda.libraries.psu.edu/catalog/15774xqz5129.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhong X. Pressure Transient Analysis of Shale Gas Reservoirs with Horizontal Boreholes: An Artificial Intelligence Based Approach. [Thesis]. Penn State University; 2018. Available from: https://etda.libraries.psu.edu/catalog/15774xqz5129

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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