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You searched for subject:(Artificial neural networks). Showing records 1 – 30 of 1465 total matches.

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University of Georgia

1. 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 August 08, 2020. 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. 08 Aug 2020.

Vancouver:

Crowell KL. Precipitation prediction using artificial neural networks. [Internet] [Masters thesis]. University of Georgia; 2008. [cited 2020 Aug 08]. 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

2. 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 August 08, 2020. 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. 08 Aug 2020.

Vancouver:

Martin CM. Crop yield prediction using artificial neural networks and genetic algorithms. [Internet] [Masters thesis]. University of Georgia; 2009. [cited 2020 Aug 08]. 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


University of Johannesburg

3. 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 (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 August 08, 2020. 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. 08 Aug 2020.

Vancouver:

De Wet APC. An incremental learning system for artificial neural networks. [Internet] [Thesis]. University of Johannesburg; 2014. [cited 2020 Aug 08]. 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

4. 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 August 08, 2020. 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. 08 Aug 2020.

Vancouver:

P S. Image steganalysis using artificial neural networks. [Internet] [Thesis]. Vels University; 2013. [cited 2020 Aug 08]. 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 Waterloo

5. 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 (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 August 08, 2020. 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. 08 Aug 2020.

Vancouver:

Ashoor A. Artificial Neural Networks for Microwave Detection. [Internet] [Thesis]. University of Waterloo; 2012. [cited 2020 Aug 08]. 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 Georgia

6. Foster, Ernest Allen. Commodity futures price prediction : an artificial intelligence approach.

Degree: MS, Artificial Intelligence, 2002, University of Georgia

 This thesis describes an attempt to predict the next value in a .nancial time series using various arti .cial techniques.The time series in question consists… (more)

Subjects/Keywords: artificial neural networks

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APA (6th Edition):

Foster, E. A. (2002). Commodity futures price prediction : an artificial intelligence approach. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/foster_ernest_a_200212_ms

Chicago Manual of Style (16th Edition):

Foster, Ernest Allen. “Commodity futures price prediction : an artificial intelligence approach.” 2002. Masters Thesis, University of Georgia. Accessed August 08, 2020. http://purl.galileo.usg.edu/uga_etd/foster_ernest_a_200212_ms.

MLA Handbook (7th Edition):

Foster, Ernest Allen. “Commodity futures price prediction : an artificial intelligence approach.” 2002. Web. 08 Aug 2020.

Vancouver:

Foster EA. Commodity futures price prediction : an artificial intelligence approach. [Internet] [Masters thesis]. University of Georgia; 2002. [cited 2020 Aug 08]. Available from: http://purl.galileo.usg.edu/uga_etd/foster_ernest_a_200212_ms.

Council of Science Editors:

Foster EA. Commodity futures price prediction : an artificial intelligence approach. [Masters Thesis]. University of Georgia; 2002. Available from: http://purl.galileo.usg.edu/uga_etd/foster_ernest_a_200212_ms


University of Georgia

7. Jain, Abhishek. Predicting air temperature for frost warning using Artificial Neural Networks.

Degree: MS, Artificial Intelligence, 2003, University of Georgia

 One of the most important factors in crop growth is weather, therefore, weather forecasting is vital for agricultural production decision making. For crops such as… (more)

Subjects/Keywords: Artificial Neural Networks

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APA (6th Edition):

Jain, A. (2003). Predicting air temperature for frost warning using Artificial Neural Networks. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/jain_abhishek_200312_ms

Chicago Manual of Style (16th Edition):

Jain, Abhishek. “Predicting air temperature for frost warning using Artificial Neural Networks.” 2003. Masters Thesis, University of Georgia. Accessed August 08, 2020. http://purl.galileo.usg.edu/uga_etd/jain_abhishek_200312_ms.

MLA Handbook (7th Edition):

Jain, Abhishek. “Predicting air temperature for frost warning using Artificial Neural Networks.” 2003. Web. 08 Aug 2020.

Vancouver:

Jain A. Predicting air temperature for frost warning using Artificial Neural Networks. [Internet] [Masters thesis]. University of Georgia; 2003. [cited 2020 Aug 08]. Available from: http://purl.galileo.usg.edu/uga_etd/jain_abhishek_200312_ms.

Council of Science Editors:

Jain A. Predicting air temperature for frost warning using Artificial Neural Networks. [Masters Thesis]. University of Georgia; 2003. Available from: http://purl.galileo.usg.edu/uga_etd/jain_abhishek_200312_ms


University of Georgia

8. Shank, Daniel B. Dew point temperature prediction using artificial neural networks.

Degree: MS, Artificial Intelligence, 2006, University of Georgia

 Dew point temperature is the temperature at which water vapor condenses. It is an important weather variable used to estimate frost, fog, rain, snow, dew,… (more)

Subjects/Keywords: Artificial Neural Networks

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APA (6th Edition):

Shank, D. B. (2006). Dew point temperature prediction using artificial neural networks. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/shank_daniel_b_200608_ms

Chicago Manual of Style (16th Edition):

Shank, Daniel B. “Dew point temperature prediction using artificial neural networks.” 2006. Masters Thesis, University of Georgia. Accessed August 08, 2020. http://purl.galileo.usg.edu/uga_etd/shank_daniel_b_200608_ms.

MLA Handbook (7th Edition):

Shank, Daniel B. “Dew point temperature prediction using artificial neural networks.” 2006. Web. 08 Aug 2020.

Vancouver:

Shank DB. Dew point temperature prediction using artificial neural networks. [Internet] [Masters thesis]. University of Georgia; 2006. [cited 2020 Aug 08]. Available from: http://purl.galileo.usg.edu/uga_etd/shank_daniel_b_200608_ms.

Council of Science Editors:

Shank DB. Dew point temperature prediction using artificial neural networks. [Masters Thesis]. University of Georgia; 2006. Available from: http://purl.galileo.usg.edu/uga_etd/shank_daniel_b_200608_ms


Case Western Reserve University

9. Wang, Jun. On the trainability, stability, representability, and realizability of artificial neural networks.

Degree: PhD, Electrical Engineering, 1991, Case Western Reserve University

 This thesis presents a systems-theoretic approach to analysis and synthesis of artificial neural networks for system modeling and optimization. The thesis consists of two independent… (more)

Subjects/Keywords: artificial neural networks

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APA (6th Edition):

Wang, J. (1991). On the trainability, stability, representability, and realizability of artificial neural networks. (Doctoral Dissertation). Case Western Reserve University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1055427027

Chicago Manual of Style (16th Edition):

Wang, Jun. “On the trainability, stability, representability, and realizability of artificial neural networks.” 1991. Doctoral Dissertation, Case Western Reserve University. Accessed August 08, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1055427027.

MLA Handbook (7th Edition):

Wang, Jun. “On the trainability, stability, representability, and realizability of artificial neural networks.” 1991. Web. 08 Aug 2020.

Vancouver:

Wang J. On the trainability, stability, representability, and realizability of artificial neural networks. [Internet] [Doctoral dissertation]. Case Western Reserve University; 1991. [cited 2020 Aug 08]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1055427027.

Council of Science Editors:

Wang J. On the trainability, stability, representability, and realizability of artificial neural networks. [Doctoral Dissertation]. Case Western Reserve University; 1991. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1055427027


Penn State University

10. Olatunji, Adewale. OPTIMIZATION OF NATURAL GAS FIELD DEVELOPMENT USING ARTIFICIAL NEURAL NETWORKS.

Degree: MS, Petroleum and Mineral Engineering, 2010, Penn State University

 Field development of natural gas reservoirs is one of the main aspects of exploration and production of natural gas for oil and gas operators. After… (more)

Subjects/Keywords: Natural Gas Field Development; Artificial Neural Networks

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APA (6th Edition):

Olatunji, A. (2010). OPTIMIZATION OF NATURAL GAS FIELD DEVELOPMENT USING ARTIFICIAL NEURAL NETWORKS. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/9694

Chicago Manual of Style (16th Edition):

Olatunji, Adewale. “OPTIMIZATION OF NATURAL GAS FIELD DEVELOPMENT USING ARTIFICIAL NEURAL NETWORKS.” 2010. Masters Thesis, Penn State University. Accessed August 08, 2020. https://etda.libraries.psu.edu/catalog/9694.

MLA Handbook (7th Edition):

Olatunji, Adewale. “OPTIMIZATION OF NATURAL GAS FIELD DEVELOPMENT USING ARTIFICIAL NEURAL NETWORKS.” 2010. Web. 08 Aug 2020.

Vancouver:

Olatunji A. OPTIMIZATION OF NATURAL GAS FIELD DEVELOPMENT USING ARTIFICIAL NEURAL NETWORKS. [Internet] [Masters thesis]. Penn State University; 2010. [cited 2020 Aug 08]. Available from: https://etda.libraries.psu.edu/catalog/9694.

Council of Science Editors:

Olatunji A. OPTIMIZATION OF NATURAL GAS FIELD DEVELOPMENT USING ARTIFICIAL NEURAL NETWORKS. [Masters Thesis]. Penn State University; 2010. Available from: https://etda.libraries.psu.edu/catalog/9694


Lincoln University

11. Pontin, David R. Factors influencing the occurrence of stinging jellyfish (Physalia spp.) at New Zealand beaches.

Degree: 2009, Lincoln University

 Individuals of the cnidarian genus Physalia are a common sight at New Zealand beaches and are the primary cause of jellyfish stings to beachgoers each… (more)

Subjects/Keywords: Physalia; Cnidaria; DNA barcoding; artificial neural networks

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APA (6th Edition):

Pontin, D. R. (2009). Factors influencing the occurrence of stinging jellyfish (Physalia spp.) at New Zealand beaches. (Thesis). Lincoln University. Retrieved from http://hdl.handle.net/10182/1580

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):

Pontin, David R. “Factors influencing the occurrence of stinging jellyfish (Physalia spp.) at New Zealand beaches.” 2009. Thesis, Lincoln University. Accessed August 08, 2020. http://hdl.handle.net/10182/1580.

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

MLA Handbook (7th Edition):

Pontin, David R. “Factors influencing the occurrence of stinging jellyfish (Physalia spp.) at New Zealand beaches.” 2009. Web. 08 Aug 2020.

Vancouver:

Pontin DR. Factors influencing the occurrence of stinging jellyfish (Physalia spp.) at New Zealand beaches. [Internet] [Thesis]. Lincoln University; 2009. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/10182/1580.

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

Council of Science Editors:

Pontin DR. Factors influencing the occurrence of stinging jellyfish (Physalia spp.) at New Zealand beaches. [Thesis]. Lincoln University; 2009. Available from: http://hdl.handle.net/10182/1580

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


NSYSU

12. Cheng, Wen-Chin. Study on Least Trimmed Squares Artificial Neural Networks.

Degree: Master, Electrical Engineering, 2008, NSYSU

 In this thesis, we study the least trimmed squares artificial neural networks (LTS-ANNs), which are generalization of the least trimmed squares (LTS) estimators frequently used… (more)

Subjects/Keywords: Artificial Neural Networks; Least Trimmed Squares

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APA (6th Edition):

Cheng, W. (2008). Study on Least Trimmed Squares Artificial Neural Networks. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0623108-160018

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):

Cheng, Wen-Chin. “Study on Least Trimmed Squares Artificial Neural Networks.” 2008. Thesis, NSYSU. Accessed August 08, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0623108-160018.

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

MLA Handbook (7th Edition):

Cheng, Wen-Chin. “Study on Least Trimmed Squares Artificial Neural Networks.” 2008. Web. 08 Aug 2020.

Vancouver:

Cheng W. Study on Least Trimmed Squares Artificial Neural Networks. [Internet] [Thesis]. NSYSU; 2008. [cited 2020 Aug 08]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0623108-160018.

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

Council of Science Editors:

Cheng W. Study on Least Trimmed Squares Artificial Neural Networks. [Thesis]. NSYSU; 2008. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0623108-160018

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


University of Manchester

13. Fawcett, Vicky. Polymorphism from a Solution Perspective: Rationalisation at the Molecular Level.

Degree: 2011, University of Manchester

A polymorphic substance is capable of forming a number of different crystalline phases that are referred to as its polymorphs. The critical process that determines… (more)

Subjects/Keywords: Polymorphism; Artificial Neural Networks; Molecular Descriptor; Crystallisation

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APA (6th Edition):

Fawcett, V. (2011). Polymorphism from a Solution Perspective: Rationalisation at the Molecular Level. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:125372

Chicago Manual of Style (16th Edition):

Fawcett, Vicky. “Polymorphism from a Solution Perspective: Rationalisation at the Molecular Level.” 2011. Doctoral Dissertation, University of Manchester. Accessed August 08, 2020. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:125372.

MLA Handbook (7th Edition):

Fawcett, Vicky. “Polymorphism from a Solution Perspective: Rationalisation at the Molecular Level.” 2011. Web. 08 Aug 2020.

Vancouver:

Fawcett V. Polymorphism from a Solution Perspective: Rationalisation at the Molecular Level. [Internet] [Doctoral dissertation]. University of Manchester; 2011. [cited 2020 Aug 08]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:125372.

Council of Science Editors:

Fawcett V. Polymorphism from a Solution Perspective: Rationalisation at the Molecular Level. [Doctoral Dissertation]. University of Manchester; 2011. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:125372


University of KwaZulu-Natal

14. Ebhota, Virginia Chika. Modelling of propagation path loss using adaptive hybrid artificial neural network approach for outdoor environments.

Degree: 2018, University of KwaZulu-Natal

 Prediction of signal power loss between transmitter and receiver with minimal error is an important issue in telecommunication network planning and optimization process. Some of… (more)

Subjects/Keywords: Artificial neural networks.; Modelling.; Propagation path loss.

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APA (6th Edition):

Ebhota, V. C. (2018). Modelling of propagation path loss using adaptive hybrid artificial neural network approach for outdoor environments. (Thesis). University of KwaZulu-Natal. Retrieved from https://researchspace.ukzn.ac.za/handle/10413/16631

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):

Ebhota, Virginia Chika. “Modelling of propagation path loss using adaptive hybrid artificial neural network approach for outdoor environments.” 2018. Thesis, University of KwaZulu-Natal. Accessed August 08, 2020. https://researchspace.ukzn.ac.za/handle/10413/16631.

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

MLA Handbook (7th Edition):

Ebhota, Virginia Chika. “Modelling of propagation path loss using adaptive hybrid artificial neural network approach for outdoor environments.” 2018. Web. 08 Aug 2020.

Vancouver:

Ebhota VC. Modelling of propagation path loss using adaptive hybrid artificial neural network approach for outdoor environments. [Internet] [Thesis]. University of KwaZulu-Natal; 2018. [cited 2020 Aug 08]. Available from: https://researchspace.ukzn.ac.za/handle/10413/16631.

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

Council of Science Editors:

Ebhota VC. Modelling of propagation path loss using adaptive hybrid artificial neural network approach for outdoor environments. [Thesis]. University of KwaZulu-Natal; 2018. Available from: https://researchspace.ukzn.ac.za/handle/10413/16631

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


University of Plymouth

15. Mazzapioda, Mariagiovanna. On the evolutionary co-adaptation of morphology and distributed neural controllers in adaptive agents.

Degree: PhD, 2012, University of Plymouth

 The attempt to evolve complete embodied and situated artificial creatures in which both morphological and control characteristics are adapted during the evolutionary process has been… (more)

Subjects/Keywords: 629.892; Artificial Life : Evolutionary Robotics : Neural Networks

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APA (6th Edition):

Mazzapioda, M. (2012). On the evolutionary co-adaptation of morphology and distributed neural controllers in adaptive agents. (Doctoral Dissertation). University of Plymouth. Retrieved from http://hdl.handle.net/10026.1/1011

Chicago Manual of Style (16th Edition):

Mazzapioda, Mariagiovanna. “On the evolutionary co-adaptation of morphology and distributed neural controllers in adaptive agents.” 2012. Doctoral Dissertation, University of Plymouth. Accessed August 08, 2020. http://hdl.handle.net/10026.1/1011.

MLA Handbook (7th Edition):

Mazzapioda, Mariagiovanna. “On the evolutionary co-adaptation of morphology and distributed neural controllers in adaptive agents.” 2012. Web. 08 Aug 2020.

Vancouver:

Mazzapioda M. On the evolutionary co-adaptation of morphology and distributed neural controllers in adaptive agents. [Internet] [Doctoral dissertation]. University of Plymouth; 2012. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/10026.1/1011.

Council of Science Editors:

Mazzapioda M. On the evolutionary co-adaptation of morphology and distributed neural controllers in adaptive agents. [Doctoral Dissertation]. University of Plymouth; 2012. Available from: http://hdl.handle.net/10026.1/1011


AUT University

16. Bhowmick, Abhishek Animesh. Prediction of Friction Stir Weld quality using Self Organising Maps .

Degree: 2011, AUT University

 Interest in using artificial neural networks for predicting & forecasting has led to a tremendous surge in research activities in the past decade. Self organising… (more)

Subjects/Keywords: Friction Stir Welding; Artificial neural networks

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

APA (6th Edition):

Bhowmick, A. A. (2011). Prediction of Friction Stir Weld quality using Self Organising Maps . (Thesis). AUT University. Retrieved from http://hdl.handle.net/10292/1229

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):

Bhowmick, Abhishek Animesh. “Prediction of Friction Stir Weld quality using Self Organising Maps .” 2011. Thesis, AUT University. Accessed August 08, 2020. http://hdl.handle.net/10292/1229.

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

MLA Handbook (7th Edition):

Bhowmick, Abhishek Animesh. “Prediction of Friction Stir Weld quality using Self Organising Maps .” 2011. Web. 08 Aug 2020.

Vancouver:

Bhowmick AA. Prediction of Friction Stir Weld quality using Self Organising Maps . [Internet] [Thesis]. AUT University; 2011. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/10292/1229.

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

Council of Science Editors:

Bhowmick AA. Prediction of Friction Stir Weld quality using Self Organising Maps . [Thesis]. AUT University; 2011. Available from: http://hdl.handle.net/10292/1229

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

17. Vikström, Filip. A recurrent neural network approach to quantification of risks surrounding the Swedish property market.

Degree: Mathematics and Mathematical Statistics, 2016, Umeå University

  As the real estate market plays a central role in a countries financial situation, as a life insurer, a bank and a property developer,… (more)

Subjects/Keywords: Artificial neural networks; Machine learning; RNN

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APA (6th Edition):

Vikström, F. (2016). A recurrent neural network approach to quantification of risks surrounding the Swedish property market. (Thesis). Umeå University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-126192

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):

Vikström, Filip. “A recurrent neural network approach to quantification of risks surrounding the Swedish property market.” 2016. Thesis, Umeå University. Accessed August 08, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-126192.

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

MLA Handbook (7th Edition):

Vikström, Filip. “A recurrent neural network approach to quantification of risks surrounding the Swedish property market.” 2016. Web. 08 Aug 2020.

Vancouver:

Vikström F. A recurrent neural network approach to quantification of risks surrounding the Swedish property market. [Internet] [Thesis]. Umeå University; 2016. [cited 2020 Aug 08]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-126192.

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

Council of Science Editors:

Vikström F. A recurrent neural network approach to quantification of risks surrounding the Swedish property market. [Thesis]. Umeå University; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-126192

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


University of Illinois – Urbana-Champaign

18. Kamuda, Mark M. Automated isotope identification algorithm using artificial neural networks.

Degree: MS, Nuclear, Plasma, Radiolgc Engr, 2017, University of Illinois – Urbana-Champaign

 There is a need to develop an algorithm that can determine the relative activities of a mixture of many isotopes in a low-resolution gamma-ray spectrum.… (more)

Subjects/Keywords: Automated isotope identification; Artificial neural networks

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APA (6th Edition):

Kamuda, M. M. (2017). Automated isotope identification algorithm using artificial neural networks. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/97440

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):

Kamuda, Mark M. “Automated isotope identification algorithm using artificial neural networks.” 2017. Thesis, University of Illinois – Urbana-Champaign. Accessed August 08, 2020. http://hdl.handle.net/2142/97440.

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

MLA Handbook (7th Edition):

Kamuda, Mark M. “Automated isotope identification algorithm using artificial neural networks.” 2017. Web. 08 Aug 2020.

Vancouver:

Kamuda MM. Automated isotope identification algorithm using artificial neural networks. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2017. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/2142/97440.

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

Council of Science Editors:

Kamuda MM. Automated isotope identification algorithm using artificial neural networks. [Thesis]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/97440

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


California State University – Sacramento

19. Banur Shashidhara, Divya. Using PSO algorithm for training neural networks.

Degree: MS, Computer Science, 2016, California State University – Sacramento

Artificial Neural Networks (ANN) have a wide range of applications in the field of science & technology. An attempt was made previously in a research… (more)

Subjects/Keywords: Artificial neural networks; CUDA programming; PSO algorithm

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

APA (6th Edition):

Banur Shashidhara, D. (2016). Using PSO algorithm for training neural networks. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/171319

Chicago Manual of Style (16th Edition):

Banur Shashidhara, Divya. “Using PSO algorithm for training neural networks.” 2016. Masters Thesis, California State University – Sacramento. Accessed August 08, 2020. http://hdl.handle.net/10211.3/171319.

MLA Handbook (7th Edition):

Banur Shashidhara, Divya. “Using PSO algorithm for training neural networks.” 2016. Web. 08 Aug 2020.

Vancouver:

Banur Shashidhara D. Using PSO algorithm for training neural networks. [Internet] [Masters thesis]. California State University – Sacramento; 2016. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/10211.3/171319.

Council of Science Editors:

Banur Shashidhara D. Using PSO algorithm for training neural networks. [Masters Thesis]. California State University – Sacramento; 2016. Available from: http://hdl.handle.net/10211.3/171319


Queens University

20. Fernando, Heshan. Artificial Neural Networks for Fault Detection and Identification on an Automated Assembly Machine .

Degree: Mechanical and Materials Engineering, 2014, Queens University

Artificial neural networks (ANNs) have been used in many fault detection and identification (FDI) applications due to their pattern recognition abilities. In this study, two… (more)

Subjects/Keywords: Artificial neural networks ; Fault identification ; Fault detection

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APA (6th Edition):

Fernando, H. (2014). Artificial Neural Networks for Fault Detection and Identification on an Automated Assembly Machine . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/12188

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):

Fernando, Heshan. “Artificial Neural Networks for Fault Detection and Identification on an Automated Assembly Machine .” 2014. Thesis, Queens University. Accessed August 08, 2020. http://hdl.handle.net/1974/12188.

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

MLA Handbook (7th Edition):

Fernando, Heshan. “Artificial Neural Networks for Fault Detection and Identification on an Automated Assembly Machine .” 2014. Web. 08 Aug 2020.

Vancouver:

Fernando H. Artificial Neural Networks for Fault Detection and Identification on an Automated Assembly Machine . [Internet] [Thesis]. Queens University; 2014. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/1974/12188.

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

Council of Science Editors:

Fernando H. Artificial Neural Networks for Fault Detection and Identification on an Automated Assembly Machine . [Thesis]. Queens University; 2014. Available from: http://hdl.handle.net/1974/12188

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


University of Akron

21. Lakumarapu, Shravan Kumar. Committee Neural Networks for Image Based Facial Expression Classification System: Parameter Optimization.

Degree: MSin Engineering, Biomedical Engineering, 2010, University of Akron

 There has been a significant growth in the application of Artificial Neural Networks (ANNs) in the medical field including clinical decision support systems which call… (more)

Subjects/Keywords: Engineering; Artificial Neural Networks; Committee Neural Networks, Artificial Intelligence, decision support systems, optimization

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APA (6th Edition):

Lakumarapu, S. K. (2010). Committee Neural Networks for Image Based Facial Expression Classification System: Parameter Optimization. (Masters Thesis). University of Akron. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=akron1277322041

Chicago Manual of Style (16th Edition):

Lakumarapu, Shravan Kumar. “Committee Neural Networks for Image Based Facial Expression Classification System: Parameter Optimization.” 2010. Masters Thesis, University of Akron. Accessed August 08, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=akron1277322041.

MLA Handbook (7th Edition):

Lakumarapu, Shravan Kumar. “Committee Neural Networks for Image Based Facial Expression Classification System: Parameter Optimization.” 2010. Web. 08 Aug 2020.

Vancouver:

Lakumarapu SK. Committee Neural Networks for Image Based Facial Expression Classification System: Parameter Optimization. [Internet] [Masters thesis]. University of Akron; 2010. [cited 2020 Aug 08]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1277322041.

Council of Science Editors:

Lakumarapu SK. Committee Neural Networks for Image Based Facial Expression Classification System: Parameter Optimization. [Masters Thesis]. University of Akron; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1277322041

22. Jesus, Ricardo Jorge Bastos Cordeiro de. Insights on neural networks .

Degree: 2020, Universidade de Aveiro

 The many advances that machine learning, and especially its workhorse, deep learning, has provided to our society are undeniable. However, there is an increasing feeling… (more)

Subjects/Keywords: Artificial neural networks; Deep learning; Machine learning; Artificial intelligence; Initialization effects

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

APA (6th Edition):

Jesus, R. J. B. C. d. (2020). Insights on neural networks . (Thesis). Universidade de Aveiro. Retrieved from http://hdl.handle.net/10773/28252

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):

Jesus, Ricardo Jorge Bastos Cordeiro de. “Insights on neural networks .” 2020. Thesis, Universidade de Aveiro. Accessed August 08, 2020. http://hdl.handle.net/10773/28252.

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

MLA Handbook (7th Edition):

Jesus, Ricardo Jorge Bastos Cordeiro de. “Insights on neural networks .” 2020. Web. 08 Aug 2020.

Vancouver:

Jesus RJBCd. Insights on neural networks . [Internet] [Thesis]. Universidade de Aveiro; 2020. [cited 2020 Aug 08]. Available from: http://hdl.handle.net/10773/28252.

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

Council of Science Editors:

Jesus RJBCd. Insights on neural networks . [Thesis]. Universidade de Aveiro; 2020. Available from: http://hdl.handle.net/10773/28252

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

23. Kleber Romero Felizardo. Identificação de amostras de álcool etílico e água com uma microbalança de quartzo e redes neurais artificiais.

Degree: 2005, Universidade Estadual de Londrina

In this work it was developed a system to identify water levels present in the ethyl alcohol using a quartz-crystal resonator microbalance coated with polydiphenylamine… (more)

Subjects/Keywords: Rede neural (computação); Inteligência artificial; Microbalanças de quartzo - Polímero polidifenilamina; Neural networks; Artificial intelligence

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

APA (6th Edition):

Felizardo, K. R. (2005). Identificação de amostras de álcool etílico e água com uma microbalança de quartzo e redes neurais artificiais. (Thesis). Universidade Estadual de Londrina. Retrieved from http://www.bibliotecadigital.uel.br/document/?code=vtls000111739

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):

Felizardo, Kleber Romero. “Identificação de amostras de álcool etílico e água com uma microbalança de quartzo e redes neurais artificiais.” 2005. Thesis, Universidade Estadual de Londrina. Accessed August 08, 2020. http://www.bibliotecadigital.uel.br/document/?code=vtls000111739.

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

MLA Handbook (7th Edition):

Felizardo, Kleber Romero. “Identificação de amostras de álcool etílico e água com uma microbalança de quartzo e redes neurais artificiais.” 2005. Web. 08 Aug 2020.

Vancouver:

Felizardo KR. Identificação de amostras de álcool etílico e água com uma microbalança de quartzo e redes neurais artificiais. [Internet] [Thesis]. Universidade Estadual de Londrina; 2005. [cited 2020 Aug 08]. Available from: http://www.bibliotecadigital.uel.br/document/?code=vtls000111739.

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

Council of Science Editors:

Felizardo KR. Identificação de amostras de álcool etílico e água com uma microbalança de quartzo e redes neurais artificiais. [Thesis]. Universidade Estadual de Londrina; 2005. Available from: http://www.bibliotecadigital.uel.br/document/?code=vtls000111739

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


Texas State University – San Marcos

24. Lusk, Shaun M. Evolving Neural Networks with HyperNEAT and Online Training.

Degree: MS, Computer Science, 2014, Texas State University – San Marcos

Artificial neural network research of the past decade has seen significant growth with the advent of genetic algorithms such as NSGA and NEAT to develop… (more)

Subjects/Keywords: Neural Networks; HyperNEAT; Machine Learning; Artificial Intelligence; Neural networks (Computer science); Back propagation (Artificial intelligence); Computer networks

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

APA (6th Edition):

Lusk, S. M. (2014). Evolving Neural Networks with HyperNEAT and Online Training. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/4972

Chicago Manual of Style (16th Edition):

Lusk, Shaun M. “Evolving Neural Networks with HyperNEAT and Online Training.” 2014. Masters Thesis, Texas State University – San Marcos. Accessed August 08, 2020. https://digital.library.txstate.edu/handle/10877/4972.

MLA Handbook (7th Edition):

Lusk, Shaun M. “Evolving Neural Networks with HyperNEAT and Online Training.” 2014. Web. 08 Aug 2020.

Vancouver:

Lusk SM. Evolving Neural Networks with HyperNEAT and Online Training. [Internet] [Masters thesis]. Texas State University – San Marcos; 2014. [cited 2020 Aug 08]. Available from: https://digital.library.txstate.edu/handle/10877/4972.

Council of Science Editors:

Lusk SM. Evolving Neural Networks with HyperNEAT and Online Training. [Masters Thesis]. Texas State University – San Marcos; 2014. Available from: https://digital.library.txstate.edu/handle/10877/4972

25. Latha Parthiban. Initializing Neuro-Fuzzy networks with prior knowledge for computer aided medical diagnosis; -.

Degree: Computer Science, 2012, Pondicherry University

This thesis identifies some of the features and major limitations of current Artificial Neural Network (ANN) architectures and learning laws and explore an efficient method… (more)

Subjects/Keywords: Neuro-Fuzzy networks; computer aided medical diagnosis; Artificial Neural Networks

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APA (6th Edition):

Parthiban, L. (2012). Initializing Neuro-Fuzzy networks with prior knowledge for computer aided medical diagnosis; -. (Thesis). Pondicherry University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/5550

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):

Parthiban, Latha. “Initializing Neuro-Fuzzy networks with prior knowledge for computer aided medical diagnosis; -.” 2012. Thesis, Pondicherry University. Accessed August 08, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/5550.

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

MLA Handbook (7th Edition):

Parthiban, Latha. “Initializing Neuro-Fuzzy networks with prior knowledge for computer aided medical diagnosis; -.” 2012. Web. 08 Aug 2020.

Vancouver:

Parthiban L. Initializing Neuro-Fuzzy networks with prior knowledge for computer aided medical diagnosis; -. [Internet] [Thesis]. Pondicherry University; 2012. [cited 2020 Aug 08]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/5550.

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

Council of Science Editors:

Parthiban L. Initializing Neuro-Fuzzy networks with prior knowledge for computer aided medical diagnosis; -. [Thesis]. Pondicherry University; 2012. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/5550

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


San Jose State University

26. Deshmukh, Kunal Rajan. Image Compression Using Neural Networks.

Degree: MS, Computer Science, 2019, San Jose State University

  Image compression is a well-studied field of Computer Vision. Recently, many neural network based architectures have been proposed for image compression as well as… (more)

Subjects/Keywords: Convolutional Neural Networks; Generative Adversarial Networks; Artificial Intelligence and Robotics

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APA (6th Edition):

Deshmukh, K. R. (2019). Image Compression Using Neural Networks. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.h8mt-65ct ; https://scholarworks.sjsu.edu/etd_projects/666

Chicago Manual of Style (16th Edition):

Deshmukh, Kunal Rajan. “Image Compression Using Neural Networks.” 2019. Masters Thesis, San Jose State University. Accessed August 08, 2020. https://doi.org/10.31979/etd.h8mt-65ct ; https://scholarworks.sjsu.edu/etd_projects/666.

MLA Handbook (7th Edition):

Deshmukh, Kunal Rajan. “Image Compression Using Neural Networks.” 2019. Web. 08 Aug 2020.

Vancouver:

Deshmukh KR. Image Compression Using Neural Networks. [Internet] [Masters thesis]. San Jose State University; 2019. [cited 2020 Aug 08]. Available from: https://doi.org/10.31979/etd.h8mt-65ct ; https://scholarworks.sjsu.edu/etd_projects/666.

Council of Science Editors:

Deshmukh KR. Image Compression Using Neural Networks. [Masters Thesis]. San Jose State University; 2019. Available from: https://doi.org/10.31979/etd.h8mt-65ct ; https://scholarworks.sjsu.edu/etd_projects/666


University of Cincinnati

27. Butler, Martin A. A Method of Structural Health Monitoring for Unpredicted Combinations of Damage.

Degree: PhD, Engineering and Applied Science: Civil Engineering, 2019, University of Cincinnati

 The current state of the art in structural health monitoring (SHM) is to compare a set of sensor values to previously established values, using some… (more)

Subjects/Keywords: Civil Engineering; Structural Health Monitoring; Subdivided Attractor Networks; Artificial Neural Networks

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APA (6th Edition):

Butler, M. A. (2019). A Method of Structural Health Monitoring for Unpredicted Combinations of Damage. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1575967420002943

Chicago Manual of Style (16th Edition):

Butler, Martin A. “A Method of Structural Health Monitoring for Unpredicted Combinations of Damage.” 2019. Doctoral Dissertation, University of Cincinnati. Accessed August 08, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1575967420002943.

MLA Handbook (7th Edition):

Butler, Martin A. “A Method of Structural Health Monitoring for Unpredicted Combinations of Damage.” 2019. Web. 08 Aug 2020.

Vancouver:

Butler MA. A Method of Structural Health Monitoring for Unpredicted Combinations of Damage. [Internet] [Doctoral dissertation]. University of Cincinnati; 2019. [cited 2020 Aug 08]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1575967420002943.

Council of Science Editors:

Butler MA. A Method of Structural Health Monitoring for Unpredicted Combinations of Damage. [Doctoral Dissertation]. University of Cincinnati; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1575967420002943


Rochester Institute of Technology

28. Nooka, Sai Prasad. Fusion of Mini-Deep Nets.

Degree: MS, Computer Engineering, 2016, Rochester Institute of Technology

  Image classification and object recognition are some of the most prominent problems in computer vision. The difficult nature of finding objects regardless of pose… (more)

Subjects/Keywords: Artificial intelligence; Deep neural networks; Herarchial deep networks

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APA (6th Edition):

Nooka, S. P. (2016). Fusion of Mini-Deep Nets. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9188

Chicago Manual of Style (16th Edition):

Nooka, Sai Prasad. “Fusion of Mini-Deep Nets.” 2016. Masters Thesis, Rochester Institute of Technology. Accessed August 08, 2020. https://scholarworks.rit.edu/theses/9188.

MLA Handbook (7th Edition):

Nooka, Sai Prasad. “Fusion of Mini-Deep Nets.” 2016. Web. 08 Aug 2020.

Vancouver:

Nooka SP. Fusion of Mini-Deep Nets. [Internet] [Masters thesis]. Rochester Institute of Technology; 2016. [cited 2020 Aug 08]. Available from: https://scholarworks.rit.edu/theses/9188.

Council of Science Editors:

Nooka SP. Fusion of Mini-Deep Nets. [Masters Thesis]. Rochester Institute of Technology; 2016. Available from: https://scholarworks.rit.edu/theses/9188


University of Western Ontario

29. Windsor, Kyle. Driving maneuver detection using knowledge distillation networks.

Degree: 2020, University of Western Ontario

 In this thesis, we examine the current state of Advanced Driving Assistance Systems (ADAS) and their relation to maneuver prediction in the literature. We then… (more)

Subjects/Keywords: neural networks; maneuver prediction; distillation networks; Artificial Intelligence and Robotics

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APA (6th Edition):

Windsor, K. (2020). Driving maneuver detection using knowledge distillation networks. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/6844

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):

Windsor, Kyle. “Driving maneuver detection using knowledge distillation networks.” 2020. Thesis, University of Western Ontario. Accessed August 08, 2020. https://ir.lib.uwo.ca/etd/6844.

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

MLA Handbook (7th Edition):

Windsor, Kyle. “Driving maneuver detection using knowledge distillation networks.” 2020. Web. 08 Aug 2020.

Vancouver:

Windsor K. Driving maneuver detection using knowledge distillation networks. [Internet] [Thesis]. University of Western Ontario; 2020. [cited 2020 Aug 08]. Available from: https://ir.lib.uwo.ca/etd/6844.

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

Council of Science Editors:

Windsor K. Driving maneuver detection using knowledge distillation networks. [Thesis]. University of Western Ontario; 2020. Available from: https://ir.lib.uwo.ca/etd/6844

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


The Ohio State University

30. Shao, Yuanlong. Learning Sparse Recurrent Neural Networks in Language Modeling.

Degree: MS, Computer Science and Engineering, 2014, The Ohio State University

 In the context of statistical language modeling, we explored the task of learning an Elman network with sparse weight matrices, as a pilot study towards… (more)

Subjects/Keywords: Computer Science; Artificial Intelligence; language modeling; recurrent neural networks; sparse recurrent neural networks

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

APA (6th Edition):

Shao, Y. (2014). Learning Sparse Recurrent Neural Networks in Language Modeling. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1398942373

Chicago Manual of Style (16th Edition):

Shao, Yuanlong. “Learning Sparse Recurrent Neural Networks in Language Modeling.” 2014. Masters Thesis, The Ohio State University. Accessed August 08, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1398942373.

MLA Handbook (7th Edition):

Shao, Yuanlong. “Learning Sparse Recurrent Neural Networks in Language Modeling.” 2014. Web. 08 Aug 2020.

Vancouver:

Shao Y. Learning Sparse Recurrent Neural Networks in Language Modeling. [Internet] [Masters thesis]. The Ohio State University; 2014. [cited 2020 Aug 08]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1398942373.

Council of Science Editors:

Shao Y. Learning Sparse Recurrent Neural Networks in Language Modeling. [Masters Thesis]. The Ohio State University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1398942373

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