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You searched for subject:(Artificial neural networks). Showing records 1 – 30 of 1351 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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

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 July 18, 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. 18 Jul 2019.

Vancouver:

Crowell KL. Precipitation prediction using artificial neural networks. [Internet] [Masters thesis]. University of Georgia; 2008. [cited 2019 Jul 18]. 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 July 18, 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. 18 Jul 2019.

Vancouver:

Martin CM. Crop yield prediction using artificial neural networks and genetic algorithms. [Internet] [Masters thesis]. University of Georgia; 2009. [cited 2019 Jul 18]. 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 July 18, 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. 18 Jul 2019.

Vancouver:

De Wet APC. An incremental learning system for artificial neural networks. [Internet] [Thesis]. University of Johannesburg; 2014. [cited 2019 Jul 18]. 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 July 18, 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. 18 Jul 2019.

Vancouver:

P S. Image steganalysis using artificial neural networks. [Internet] [Thesis]. Vels University; 2013. [cited 2019 Jul 18]. 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

5. 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 (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 July 18, 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. 18 Jul 2019.

Vancouver:

Orr E. Evolving Turing's Artificial Neural Networks. [Internet] [Thesis]. University of Canterbury; 2010. [cited 2019 Jul 18]. 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

6. Hay, Kirstin. Exoplanet transit modelling : three new planet discoveries, and a novel artificial neural network treatment for stellar limb darkening .

Degree: 2018, University of St. Andrews

 This first part of this thesis concerns the discovery and parameter determination of three hot Jupiter planets, first detected with by the SuperWASP collaboration, and… (more)

Subjects/Keywords: Astrophysics; Exoplanets; Artificial neural networks

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APA (6th Edition):

Hay, K. (2018). Exoplanet transit modelling : three new planet discoveries, and a novel artificial neural network treatment for stellar limb darkening . (Thesis). University of St. Andrews. Retrieved from http://hdl.handle.net/10023/16501

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):

Hay, Kirstin. “Exoplanet transit modelling : three new planet discoveries, and a novel artificial neural network treatment for stellar limb darkening .” 2018. Thesis, University of St. Andrews. Accessed July 18, 2019. http://hdl.handle.net/10023/16501.

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

MLA Handbook (7th Edition):

Hay, Kirstin. “Exoplanet transit modelling : three new planet discoveries, and a novel artificial neural network treatment for stellar limb darkening .” 2018. Web. 18 Jul 2019.

Vancouver:

Hay K. Exoplanet transit modelling : three new planet discoveries, and a novel artificial neural network treatment for stellar limb darkening . [Internet] [Thesis]. University of St. Andrews; 2018. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/10023/16501.

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

Council of Science Editors:

Hay K. Exoplanet transit modelling : three new planet discoveries, and a novel artificial neural network treatment for stellar limb darkening . [Thesis]. University of St. Andrews; 2018. Available from: http://hdl.handle.net/10023/16501

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


University of Waterloo

7. 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 July 18, 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. 18 Jul 2019.

Vancouver:

Ashoor A. Artificial Neural Networks for Microwave Detection. [Internet] [Thesis]. University of Waterloo; 2012. [cited 2019 Jul 18]. 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

8. 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 July 18, 2019. 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. 18 Jul 2019.

Vancouver:

Foster EA. Commodity futures price prediction : an artificial intelligence approach. [Internet] [Masters thesis]. University of Georgia; 2002. [cited 2019 Jul 18]. 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

9. 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 July 18, 2019. 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. 18 Jul 2019.

Vancouver:

Jain A. Predicting air temperature for frost warning using Artificial Neural Networks. [Internet] [Masters thesis]. University of Georgia; 2003. [cited 2019 Jul 18]. 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

10. 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 July 18, 2019. 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. 18 Jul 2019.

Vancouver:

Shank DB. Dew point temperature prediction using artificial neural networks. [Internet] [Masters thesis]. University of Georgia; 2006. [cited 2019 Jul 18]. 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


University of Technology, Sydney

11. Dackermann, Ulrike. Vibration-based damage identification methods for civil engineering structures using artificial neural networks.

Degree: 2009, University of Technology, Sydney

 This thesis investigates the viability of using dynamic-based ‘damage fingerprints’ in combination with artificial neural network (ANN) techniques and principal component analysis (PCA) to identify… (more)

Subjects/Keywords: Frequency-response (Dynamics).; Artificial neural networks.

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APA (6th Edition):

Dackermann, U. (2009). Vibration-based damage identification methods for civil engineering structures using artificial neural networks. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/20303

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):

Dackermann, Ulrike. “Vibration-based damage identification methods for civil engineering structures using artificial neural networks.” 2009. Thesis, University of Technology, Sydney. Accessed July 18, 2019. http://hdl.handle.net/10453/20303.

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

MLA Handbook (7th Edition):

Dackermann, Ulrike. “Vibration-based damage identification methods for civil engineering structures using artificial neural networks.” 2009. Web. 18 Jul 2019.

Vancouver:

Dackermann U. Vibration-based damage identification methods for civil engineering structures using artificial neural networks. [Internet] [Thesis]. University of Technology, Sydney; 2009. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/10453/20303.

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

Council of Science Editors:

Dackermann U. Vibration-based damage identification methods for civil engineering structures using artificial neural networks. [Thesis]. University of Technology, Sydney; 2009. Available from: http://hdl.handle.net/10453/20303

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


University of Technology, Sydney

12. Williams, Sean Michael. An optimised region and boundary classifier for head movement classification.

Degree: 2009, University of Technology, Sydney

 The use of Artificial Neural Network (ANN) classifiers in real-time applications that could be considered critical, such as head movement classification for the control of… (more)

Subjects/Keywords: Artificial neural networks.; Head movement.; Boundary.

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APA (6th Edition):

Williams, S. M. (2009). An optimised region and boundary classifier for head movement classification. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/20360

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):

Williams, Sean Michael. “An optimised region and boundary classifier for head movement classification.” 2009. Thesis, University of Technology, Sydney. Accessed July 18, 2019. http://hdl.handle.net/10453/20360.

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

MLA Handbook (7th Edition):

Williams, Sean Michael. “An optimised region and boundary classifier for head movement classification.” 2009. Web. 18 Jul 2019.

Vancouver:

Williams SM. An optimised region and boundary classifier for head movement classification. [Internet] [Thesis]. University of Technology, Sydney; 2009. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/10453/20360.

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

Council of Science Editors:

Williams SM. An optimised region and boundary classifier for head movement classification. [Thesis]. University of Technology, Sydney; 2009. Available from: http://hdl.handle.net/10453/20360

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


NSYSU

13. 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 July 18, 2019. 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. 18 Jul 2019.

Vancouver:

Cheng W. Study on Least Trimmed Squares Artificial Neural Networks. [Internet] [Thesis]. NSYSU; 2008. [cited 2019 Jul 18]. 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


California State University – Sacramento

14. 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 (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 July 18, 2019. http://hdl.handle.net/10211.3/171319.

MLA Handbook (7th Edition):

Banur Shashidhara, Divya. “Using PSO algorithm for training neural networks.” 2016. Web. 18 Jul 2019.

Vancouver:

Banur Shashidhara D. Using PSO algorithm for training neural networks. [Internet] [Masters thesis]. California State University – Sacramento; 2016. [cited 2019 Jul 18]. 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


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 July 18, 2019. 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. 18 Jul 2019.

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 2019 Jul 18]. 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


Lincoln University

16. 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 July 18, 2019. 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. 18 Jul 2019.

Vancouver:

Pontin DR. Factors influencing the occurrence of stinging jellyfish (Physalia spp.) at New Zealand beaches. [Internet] [Thesis]. Lincoln University; 2009. [cited 2019 Jul 18]. 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


Case Western Reserve University

17. 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 July 18, 2019. 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. 18 Jul 2019.

Vancouver:

Wang J. On the trainability, stability, representability, and realizability of artificial neural networks. [Internet] [Doctoral dissertation]. Case Western Reserve University; 1991. [cited 2019 Jul 18]. 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

18. 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 July 18, 2019. 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. 18 Jul 2019.

Vancouver:

Olatunji A. OPTIMIZATION OF NATURAL GAS FIELD DEVELOPMENT USING ARTIFICIAL NEURAL NETWORKS. [Internet] [Masters thesis]. Penn State University; 2010. [cited 2019 Jul 18]. 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


University of Manchester

19. 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 July 18, 2019. 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. 18 Jul 2019.

Vancouver:

Fawcett V. Polymorphism from a Solution Perspective: Rationalisation at the Molecular Level. [Internet] [Doctoral dissertation]. University of Manchester; 2011. [cited 2019 Jul 18]. 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


McGill University

20. Saliah-Hassane, Hamadou. The implementation of generalised models of magnetic materials using artificial neural networks.

Degree: PhD, Department of Electrical and Computer Engineering, 1999, McGill University

This thesis proposes a framework for using an artificial neural network (ANN) as a uniform and universal method for modelling the behaviour of both isotropic… (more)

Subjects/Keywords: Artificial neural networks

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

APA (6th Edition):

Saliah-Hassane, H. (1999). The implementation of generalised models of magnetic materials using artificial neural networks. (Doctoral Dissertation). McGill University. Retrieved from http://digitool.library.mcgill.ca/thesisfile150596.pdf

Chicago Manual of Style (16th Edition):

Saliah-Hassane, Hamadou. “The implementation of generalised models of magnetic materials using artificial neural networks.” 1999. Doctoral Dissertation, McGill University. Accessed July 18, 2019. http://digitool.library.mcgill.ca/thesisfile150596.pdf.

MLA Handbook (7th Edition):

Saliah-Hassane, Hamadou. “The implementation of generalised models of magnetic materials using artificial neural networks.” 1999. Web. 18 Jul 2019.

Vancouver:

Saliah-Hassane H. The implementation of generalised models of magnetic materials using artificial neural networks. [Internet] [Doctoral dissertation]. McGill University; 1999. [cited 2019 Jul 18]. Available from: http://digitool.library.mcgill.ca/thesisfile150596.pdf.

Council of Science Editors:

Saliah-Hassane H. The implementation of generalised models of magnetic materials using artificial neural networks. [Doctoral Dissertation]. McGill University; 1999. Available from: http://digitool.library.mcgill.ca/thesisfile150596.pdf

21. 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 July 18, 2019. 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. 18 Jul 2019.

Vancouver:

Vikström F. A recurrent neural network approach to quantification of risks surrounding the Swedish property market. [Internet] [Thesis]. Umeå University; 2016. [cited 2019 Jul 18]. 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


Queens University

22. 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 July 18, 2019. 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. 18 Jul 2019.

Vancouver:

Fernando H. Artificial Neural Networks for Fault Detection and Identification on an Automated Assembly Machine . [Internet] [Thesis]. Queens University; 2014. [cited 2019 Jul 18]. 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 Texas – Austin

23. Tondukulam Seeth, Srikanth. Forecasting of sick leave usage among nurses via artificial neural networks.

Degree: Operations Research and Industrial Engineering, 2010, University of Texas – Austin

 This report examines the trends in sick leave usage among nurses in a hospital and aims at creating a forecasting model to predict sick leave… (more)

Subjects/Keywords: Artificial neural networks; Forecasting; Nursing; Nurses; Absenteeism

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APA (6th Edition):

Tondukulam Seeth, S. (2010). Forecasting of sick leave usage among nurses via artificial neural networks. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2010-12-2259

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):

Tondukulam Seeth, Srikanth. “Forecasting of sick leave usage among nurses via artificial neural networks.” 2010. Thesis, University of Texas – Austin. Accessed July 18, 2019. http://hdl.handle.net/2152/ETD-UT-2010-12-2259.

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

MLA Handbook (7th Edition):

Tondukulam Seeth, Srikanth. “Forecasting of sick leave usage among nurses via artificial neural networks.” 2010. Web. 18 Jul 2019.

Vancouver:

Tondukulam Seeth S. Forecasting of sick leave usage among nurses via artificial neural networks. [Internet] [Thesis]. University of Texas – Austin; 2010. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/2152/ETD-UT-2010-12-2259.

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

Council of Science Editors:

Tondukulam Seeth S. Forecasting of sick leave usage among nurses via artificial neural networks. [Thesis]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/ETD-UT-2010-12-2259

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


University of Illinois – Urbana-Champaign

24. 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 July 18, 2019. 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. 18 Jul 2019.

Vancouver:

Kamuda MM. Automated isotope identification algorithm using artificial neural networks. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2017. [cited 2019 Jul 18]. 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


AUT University

25. 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 (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 July 18, 2019. 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. 18 Jul 2019.

Vancouver:

Bhowmick AA. Prediction of Friction Stir Weld quality using Self Organising Maps . [Internet] [Thesis]. AUT University; 2011. [cited 2019 Jul 18]. 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


University of Akron

26. 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 July 18, 2019. 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. 18 Jul 2019.

Vancouver:

Lakumarapu SK. Committee Neural Networks for Image Based Facial Expression Classification System: Parameter Optimization. [Internet] [Masters thesis]. University of Akron; 2010. [cited 2019 Jul 18]. 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

27. 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 (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 July 18, 2019. 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. 18 Jul 2019.

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 2019 Jul 18]. 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

28. 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 July 18, 2019. 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. 18 Jul 2019.

Vancouver:

Lusk SM. Evolving Neural Networks with HyperNEAT and Online Training. [Internet] [Masters thesis]. Texas State University – San Marcos; 2014. [cited 2019 Jul 18]. 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

29. 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 July 18, 2019. 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. 18 Jul 2019.

Vancouver:

Parthiban L. Initializing Neuro-Fuzzy networks with prior knowledge for computer aided medical diagnosis; -. [Internet] [Thesis]. Pondicherry University; 2012. [cited 2019 Jul 18]. 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


University of Texas – Austin

30. -5025-2877. Cognition in dynamical systems.

Degree: Mechanical Engineering, 2017, University of Texas – Austin

 Cognition is the process of knowing. As carried out by a dynamical system, it is the process by which the system absorbs information into its… (more)

Subjects/Keywords: Cognition; Dynamical systems; Complex networks; Artificial neural networks; Emergence; Context

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APA (6th Edition):

-5025-2877. (2017). Cognition in dynamical systems. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68150

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

Chicago Manual of Style (16th Edition):

-5025-2877. “Cognition in dynamical systems.” 2017. Thesis, University of Texas – Austin. Accessed July 18, 2019. http://hdl.handle.net/2152/68150.

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

MLA Handbook (7th Edition):

-5025-2877. “Cognition in dynamical systems.” 2017. Web. 18 Jul 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-5025-2877. Cognition in dynamical systems. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/2152/68150.

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

Council of Science Editors:

-5025-2877. Cognition in dynamical systems. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/68150

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

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