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You searched for subject:(Neuroevolution). Showing records 1 – 28 of 28 total matches.

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University of Texas – Austin

1. Rajagopalan, Padmini. The evolution of coordinated cooperative behaviors.

Degree: Computer Sciences, 2016, University of Texas – Austin

 Cooperative behaviors are useful to many species of animals. Predators may team up to hunt large prey that they cannot catch on their own, while… (more)

Subjects/Keywords: Neuroevolution; Simulation

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APA (6th Edition):

Rajagopalan, P. (2016). The evolution of coordinated cooperative behaviors. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/46610

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):

Rajagopalan, Padmini. “The evolution of coordinated cooperative behaviors.” 2016. Thesis, University of Texas – Austin. Accessed July 22, 2019. http://hdl.handle.net/2152/46610.

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

MLA Handbook (7th Edition):

Rajagopalan, Padmini. “The evolution of coordinated cooperative behaviors.” 2016. Web. 22 Jul 2019.

Vancouver:

Rajagopalan P. The evolution of coordinated cooperative behaviors. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2019 Jul 22]. Available from: http://hdl.handle.net/2152/46610.

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

Council of Science Editors:

Rajagopalan P. The evolution of coordinated cooperative behaviors. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/46610

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


University of Texas – Austin

2. Schrum, Jacob Benoid. Evolving multimodal behavior through modular multiobjective neuroevolution.

Degree: Computer Sciences, 2014, University of Texas – Austin

 Intelligent organisms do not simply perform one task, but exhibit multiple distinct modes of behavior. For instance, humans can swim, climb, write, solve problems, and… (more)

Subjects/Keywords: Artificial intelligence; Neuroevolution

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APA (6th Edition):

Schrum, J. B. (2014). Evolving multimodal behavior through modular multiobjective neuroevolution. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/25046

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):

Schrum, Jacob Benoid. “Evolving multimodal behavior through modular multiobjective neuroevolution.” 2014. Thesis, University of Texas – Austin. Accessed July 22, 2019. http://hdl.handle.net/2152/25046.

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

MLA Handbook (7th Edition):

Schrum, Jacob Benoid. “Evolving multimodal behavior through modular multiobjective neuroevolution.” 2014. Web. 22 Jul 2019.

Vancouver:

Schrum JB. Evolving multimodal behavior through modular multiobjective neuroevolution. [Internet] [Thesis]. University of Texas – Austin; 2014. [cited 2019 Jul 22]. Available from: http://hdl.handle.net/2152/25046.

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

Council of Science Editors:

Schrum JB. Evolving multimodal behavior through modular multiobjective neuroevolution. [Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/25046

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

3. Hesselbom, Anton. Neuroevolution med tävlingsinriktad samevolution i flera miljöer med ökande komplexitet.

Degree: Informatics, 2017, University of Skövde

  NEAT är en neuroevolutionsteknik som kan användas för att träna upp AI-kontrollerade robotar utan att behöva tillföra någon mänsklig expertis eller tidigare kunskap till… (more)

Subjects/Keywords: Neuroevolution; Coevolution; AI; Games; Neuroevolution; Samevolution; AI; Spel; Computer Systems; Datorsystem

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APA (6th Edition):

Hesselbom, A. (2017). Neuroevolution med tävlingsinriktad samevolution i flera miljöer med ökande komplexitet. (Thesis). University of Skövde. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13639

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):

Hesselbom, Anton. “Neuroevolution med tävlingsinriktad samevolution i flera miljöer med ökande komplexitet.” 2017. Thesis, University of Skövde. Accessed July 22, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13639.

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

MLA Handbook (7th Edition):

Hesselbom, Anton. “Neuroevolution med tävlingsinriktad samevolution i flera miljöer med ökande komplexitet.” 2017. Web. 22 Jul 2019.

Vancouver:

Hesselbom A. Neuroevolution med tävlingsinriktad samevolution i flera miljöer med ökande komplexitet. [Internet] [Thesis]. University of Skövde; 2017. [cited 2019 Jul 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13639.

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

Council of Science Editors:

Hesselbom A. Neuroevolution med tävlingsinriktad samevolution i flera miljöer med ökande komplexitet. [Thesis]. University of Skövde; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-13639

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

4. Gustafsson, Jimmy. Evolving Neuromodulatory Topologies for Plasticity in Video Game Playing.

Degree: 2016, , Department of Software Engineering

In the last decades neural networks have become more frequent in video games. Neuroevolution helps us generate optimal network topologies for specific tasks, but… (more)

Subjects/Keywords: Neuromodulation; Neural Networks; Neuroevolution; Lifelong Learning; Neuromodulation; Neurala Nätverk; Neuroevolution; livslångt lärande; Software Engineering; Programvaruteknik; Computer Sciences; Datavetenskap (datalogi)

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APA (6th Edition):

Gustafsson, J. (2016). Evolving Neuromodulatory Topologies for Plasticity in Video Game Playing. (Thesis). , Department of Software Engineering. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-12888

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):

Gustafsson, Jimmy. “Evolving Neuromodulatory Topologies for Plasticity in Video Game Playing.” 2016. Thesis, , Department of Software Engineering. Accessed July 22, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-12888.

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

MLA Handbook (7th Edition):

Gustafsson, Jimmy. “Evolving Neuromodulatory Topologies for Plasticity in Video Game Playing.” 2016. Web. 22 Jul 2019.

Vancouver:

Gustafsson J. Evolving Neuromodulatory Topologies for Plasticity in Video Game Playing. [Internet] [Thesis]. , Department of Software Engineering; 2016. [cited 2019 Jul 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-12888.

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

Council of Science Editors:

Gustafsson J. Evolving Neuromodulatory Topologies for Plasticity in Video Game Playing. [Thesis]. , Department of Software Engineering; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-12888

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


University of Texas – Austin

5. Kohl, Nate F. Learning in fractured problems with constructive neural network algorithms.

Degree: Computer Sciences, 2009, University of Texas – Austin

 Evolution of neural networks, or neuroevolution, has been a successful approach to many low-level control problems such as pole balancing, vehicle control, and collision warning.… (more)

Subjects/Keywords: Neuroevolution algorithm; Fractured problems; NEAT; RBF-NEAT; Cascade-NEAT; SNAP-NEAT

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APA (6th Edition):

Kohl, N. F. (2009). Learning in fractured problems with constructive neural network algorithms. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/10658

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):

Kohl, Nate F. “Learning in fractured problems with constructive neural network algorithms.” 2009. Thesis, University of Texas – Austin. Accessed July 22, 2019. http://hdl.handle.net/2152/10658.

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

MLA Handbook (7th Edition):

Kohl, Nate F. “Learning in fractured problems with constructive neural network algorithms.” 2009. Web. 22 Jul 2019.

Vancouver:

Kohl NF. Learning in fractured problems with constructive neural network algorithms. [Internet] [Thesis]. University of Texas – Austin; 2009. [cited 2019 Jul 22]. Available from: http://hdl.handle.net/2152/10658.

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

Council of Science Editors:

Kohl NF. Learning in fractured problems with constructive neural network algorithms. [Thesis]. University of Texas – Austin; 2009. Available from: http://hdl.handle.net/2152/10658

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


University of New South Wales

6. Wang, Shir Li. Adversarial Learning through Red Teaming: From Data to Behaviour.

Degree: Engineering & Information Technology, 2012, University of New South Wales

 The concept of an adversary applies to all facets of the human life as they continue to dwell in a hostile world. The knowledge of… (more)

Subjects/Keywords: Behaviour; Adversarial learning; Red teaming; Neuroevolution; Deception; Perception; Neural network; Ensemble

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APA (6th Edition):

Wang, S. L. (2012). Adversarial Learning through Red Teaming: From Data to Behaviour. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/52214 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10884/SOURCE01?view=true

Chicago Manual of Style (16th Edition):

Wang, Shir Li. “Adversarial Learning through Red Teaming: From Data to Behaviour.” 2012. Doctoral Dissertation, University of New South Wales. Accessed July 22, 2019. http://handle.unsw.edu.au/1959.4/52214 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10884/SOURCE01?view=true.

MLA Handbook (7th Edition):

Wang, Shir Li. “Adversarial Learning through Red Teaming: From Data to Behaviour.” 2012. Web. 22 Jul 2019.

Vancouver:

Wang SL. Adversarial Learning through Red Teaming: From Data to Behaviour. [Internet] [Doctoral dissertation]. University of New South Wales; 2012. [cited 2019 Jul 22]. Available from: http://handle.unsw.edu.au/1959.4/52214 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10884/SOURCE01?view=true.

Council of Science Editors:

Wang SL. Adversarial Learning through Red Teaming: From Data to Behaviour. [Doctoral Dissertation]. University of New South Wales; 2012. Available from: http://handle.unsw.edu.au/1959.4/52214 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10884/SOURCE01?view=true


University of Bradford

7. Baker, Roderick James Samuel. Bayesian opponent modeling in adversarial game environments.

Degree: PhD, 2010, University of Bradford

 This thesis investigates the use of Bayesian analysis upon an opponent's behaviour in order to determine the desired goals or strategy used by a given… (more)

Subjects/Keywords: 300.285; Opponent modeling; Imperfect information games; Poker; Neuroevolution; Evolutionary algorithm; Coevolution; Bayesian analysis

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APA (6th Edition):

Baker, R. J. S. (2010). Bayesian opponent modeling in adversarial game environments. (Doctoral Dissertation). University of Bradford. Retrieved from http://hdl.handle.net/10454/5205

Chicago Manual of Style (16th Edition):

Baker, Roderick James Samuel. “Bayesian opponent modeling in adversarial game environments.” 2010. Doctoral Dissertation, University of Bradford. Accessed July 22, 2019. http://hdl.handle.net/10454/5205.

MLA Handbook (7th Edition):

Baker, Roderick James Samuel. “Bayesian opponent modeling in adversarial game environments.” 2010. Web. 22 Jul 2019.

Vancouver:

Baker RJS. Bayesian opponent modeling in adversarial game environments. [Internet] [Doctoral dissertation]. University of Bradford; 2010. [cited 2019 Jul 22]. Available from: http://hdl.handle.net/10454/5205.

Council of Science Editors:

Baker RJS. Bayesian opponent modeling in adversarial game environments. [Doctoral Dissertation]. University of Bradford; 2010. Available from: http://hdl.handle.net/10454/5205


Université de Lorraine

8. Fernández Pérez, Iñaki. Distributed Embodied Evolutionary Adaptation of Behaviors in Swarms of Robotic Agents : Adaptation de comportements par évolution incarnée et distribuée dans des essaims d'agents robotiques.

Degree: Docteur es, Informatique, 2017, Université de Lorraine

Les essaims de robots sont des systèmes composés d’un grand nombre de robots relativement simples. Du fait du grand nombre d’unités, ces systèmes ont de… (more)

Subjects/Keywords: Robotique Évolutionaire en Essaim; Adaptation en Ligne; Neuroévolution; Evolutionary Swarm Robotics; Online Adaptation; Neuroevolution; 006.3

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APA (6th Edition):

Fernández Pérez, I. (2017). Distributed Embodied Evolutionary Adaptation of Behaviors in Swarms of Robotic Agents : Adaptation de comportements par évolution incarnée et distribuée dans des essaims d'agents robotiques. (Doctoral Dissertation). Université de Lorraine. Retrieved from http://www.theses.fr/2017LORR0300

Chicago Manual of Style (16th Edition):

Fernández Pérez, Iñaki. “Distributed Embodied Evolutionary Adaptation of Behaviors in Swarms of Robotic Agents : Adaptation de comportements par évolution incarnée et distribuée dans des essaims d'agents robotiques.” 2017. Doctoral Dissertation, Université de Lorraine. Accessed July 22, 2019. http://www.theses.fr/2017LORR0300.

MLA Handbook (7th Edition):

Fernández Pérez, Iñaki. “Distributed Embodied Evolutionary Adaptation of Behaviors in Swarms of Robotic Agents : Adaptation de comportements par évolution incarnée et distribuée dans des essaims d'agents robotiques.” 2017. Web. 22 Jul 2019.

Vancouver:

Fernández Pérez I. Distributed Embodied Evolutionary Adaptation of Behaviors in Swarms of Robotic Agents : Adaptation de comportements par évolution incarnée et distribuée dans des essaims d'agents robotiques. [Internet] [Doctoral dissertation]. Université de Lorraine; 2017. [cited 2019 Jul 22]. Available from: http://www.theses.fr/2017LORR0300.

Council of Science Editors:

Fernández Pérez I. Distributed Embodied Evolutionary Adaptation of Behaviors in Swarms of Robotic Agents : Adaptation de comportements par évolution incarnée et distribuée dans des essaims d'agents robotiques. [Doctoral Dissertation]. Université de Lorraine; 2017. Available from: http://www.theses.fr/2017LORR0300


University of Central Florida

9. Woolley, Brian G. Novelty-assisted Interactive Evolution Of Control Behaviors.

Degree: 2012, University of Central Florida

 The field of evolutionary computation is inspired by the achievements of natural evolution, in which there is no final objective. Yet the pursuit of objectives… (more)

Subjects/Keywords: Evolutionary computation; evolutionary algorithms; interactive evolutionary computation; neuroevolution; neuroevolution of augmenting topologies; neat; hypercube based neuroevolution of augmenting topologies; hyperneat; artificial intelligence; non objective search; deception; novelty search; novelty assisted interactive evolutionary computation; na iec; Computer Engineering; Engineering; Dissertations, Academic  – Engineering and Computer Science,Engineering and Computer Science  – Dissertations, Academic

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APA (6th Edition):

Woolley, B. G. (2012). Novelty-assisted Interactive Evolution Of Control Behaviors. (Doctoral Dissertation). University of Central Florida. Retrieved from https://stars.library.ucf.edu/etd/2256

Chicago Manual of Style (16th Edition):

Woolley, Brian G. “Novelty-assisted Interactive Evolution Of Control Behaviors.” 2012. Doctoral Dissertation, University of Central Florida. Accessed July 22, 2019. https://stars.library.ucf.edu/etd/2256.

MLA Handbook (7th Edition):

Woolley, Brian G. “Novelty-assisted Interactive Evolution Of Control Behaviors.” 2012. Web. 22 Jul 2019.

Vancouver:

Woolley BG. Novelty-assisted Interactive Evolution Of Control Behaviors. [Internet] [Doctoral dissertation]. University of Central Florida; 2012. [cited 2019 Jul 22]. Available from: https://stars.library.ucf.edu/etd/2256.

Council of Science Editors:

Woolley BG. Novelty-assisted Interactive Evolution Of Control Behaviors. [Doctoral Dissertation]. University of Central Florida; 2012. Available from: https://stars.library.ucf.edu/etd/2256


University of Plymouth

10. Tyska Carvalho, Jônata. Adaptive behaviour in evolving robots.

Degree: PhD, 2017, University of Plymouth

 In this thesis, the evolution of adaptive behaviour in artificial agents is studied. More specifically, two types of adaptive behaviours are studied: articulated and cognitive… (more)

Subjects/Keywords: Evolutionary Robotics; Adaptive Behaviour; Evolutionary Computation; Robotics; Embodied Intelligence; Embodied Cognition; Cognitive Behaviour; Modular Behaviour; Behavioural Plasticity; Artificial Neural Networks; Neuroevolution

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APA (6th Edition):

Tyska Carvalho, J. (2017). Adaptive behaviour in evolving robots. (Doctoral Dissertation). University of Plymouth. Retrieved from http://hdl.handle.net/10026.1/10547

Chicago Manual of Style (16th Edition):

Tyska Carvalho, Jônata. “Adaptive behaviour in evolving robots.” 2017. Doctoral Dissertation, University of Plymouth. Accessed July 22, 2019. http://hdl.handle.net/10026.1/10547.

MLA Handbook (7th Edition):

Tyska Carvalho, Jônata. “Adaptive behaviour in evolving robots.” 2017. Web. 22 Jul 2019.

Vancouver:

Tyska Carvalho J. Adaptive behaviour in evolving robots. [Internet] [Doctoral dissertation]. University of Plymouth; 2017. [cited 2019 Jul 22]. Available from: http://hdl.handle.net/10026.1/10547.

Council of Science Editors:

Tyska Carvalho J. Adaptive behaviour in evolving robots. [Doctoral Dissertation]. University of Plymouth; 2017. Available from: http://hdl.handle.net/10026.1/10547

11. Miguel, Cesar Gomes. Evolução estrutural e paramétrica de redes neurais dinâmicas em vida artificial.

Degree: Mestrado, Sistemas Eletrônicos, 2009, University of São Paulo

A evolução de redes neurais artificiais encontra aplicações em diversos campos na área de aprendizado de máquina, em particular, simulações de vida artificial onde uma… (more)

Subjects/Keywords: Algoritmos genéticos; Artificial life; Artificial neural networks; Genetic algorithms; Neuroevolução; Neuroevolution; Redes neurais artificiais; Vida artificial.

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APA (6th Edition):

Miguel, C. G. (2009). Evolução estrutural e paramétrica de redes neurais dinâmicas em vida artificial. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/3/3142/tde-22042009-151501/ ;

Chicago Manual of Style (16th Edition):

Miguel, Cesar Gomes. “Evolução estrutural e paramétrica de redes neurais dinâmicas em vida artificial.” 2009. Masters Thesis, University of São Paulo. Accessed July 22, 2019. http://www.teses.usp.br/teses/disponiveis/3/3142/tde-22042009-151501/ ;.

MLA Handbook (7th Edition):

Miguel, Cesar Gomes. “Evolução estrutural e paramétrica de redes neurais dinâmicas em vida artificial.” 2009. Web. 22 Jul 2019.

Vancouver:

Miguel CG. Evolução estrutural e paramétrica de redes neurais dinâmicas em vida artificial. [Internet] [Masters thesis]. University of São Paulo; 2009. [cited 2019 Jul 22]. Available from: http://www.teses.usp.br/teses/disponiveis/3/3142/tde-22042009-151501/ ;.

Council of Science Editors:

Miguel CG. Evolução estrutural e paramétrica de redes neurais dinâmicas em vida artificial. [Masters Thesis]. University of São Paulo; 2009. Available from: http://www.teses.usp.br/teses/disponiveis/3/3142/tde-22042009-151501/ ;

12. 良, 有 福. Human-like Computer Agents using NeuroEvolution with Statistical Penalties [課題研究報告書].

Degree: Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学

Supervisor:池田 心

情報科学研究科

修士

Subjects/Keywords: Human-like agent; Game AI; NeuroEvolution; Statistical Penalties

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APA (6th Edition):

良, . (n.d.). Human-like Computer Agents using NeuroEvolution with Statistical Penalties [課題研究報告書]. (Thesis). Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学. Retrieved from http://hdl.handle.net/10119/14168

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

良, 有 福. “Human-like Computer Agents using NeuroEvolution with Statistical Penalties [課題研究報告書].” Thesis, Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学. Accessed July 22, 2019. http://hdl.handle.net/10119/14168.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

良, 有 福. “Human-like Computer Agents using NeuroEvolution with Statistical Penalties [課題研究報告書].” Web. 22 Jul 2019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

良 . Human-like Computer Agents using NeuroEvolution with Statistical Penalties [課題研究報告書]. [Internet] [Thesis]. Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学; [cited 2019 Jul 22]. Available from: http://hdl.handle.net/10119/14168.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

良 . Human-like Computer Agents using NeuroEvolution with Statistical Penalties [課題研究報告書]. [Thesis]. Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学; Available from: http://hdl.handle.net/10119/14168

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.


University of Texas – Austin

13. Bahceci, Erkin. Competitive multi-agent search.

Degree: Computer Sciences, 2014, University of Texas – Austin

 While evolutionary computation is well suited for automatic discovery in engineering, it can also be used to gain insight into how humans and organizations could… (more)

Subjects/Keywords: Competitive multi-agent search; Evolutionary computation; NK model; Neuroevolution of augmenting topologies; Compositional pattern-producing network

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APA (6th Edition):

Bahceci, E. (2014). Competitive multi-agent search. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/28368

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):

Bahceci, Erkin. “Competitive multi-agent search.” 2014. Thesis, University of Texas – Austin. Accessed July 22, 2019. http://hdl.handle.net/2152/28368.

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

MLA Handbook (7th Edition):

Bahceci, Erkin. “Competitive multi-agent search.” 2014. Web. 22 Jul 2019.

Vancouver:

Bahceci E. Competitive multi-agent search. [Internet] [Thesis]. University of Texas – Austin; 2014. [cited 2019 Jul 22]. Available from: http://hdl.handle.net/2152/28368.

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

Council of Science Editors:

Bahceci E. Competitive multi-agent search. [Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/28368

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


Brno University of Technology

14. Karásek, Štěpán. Neuronové sítě a genetické algoritmy .

Degree: 2016, Brno University of Technology

 Tato práce se zabývá evolučními a genetickými algoritmy a jejich možnou spoluprací při tvorbě a učení neuronových sítí. V teoretické části jsou popsány genetické algoritmy… (more)

Subjects/Keywords: Evoluční algoritmy; genetické algoritmy; neuronové sítě; neuroevoluce; NEAT; diferenciální evoluce.; Evolutionary algorithms; genetic algorithms; neural networks; neuroevolution; NEAT; differential evolution.

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

APA (6th Edition):

Karásek, . (2016). Neuronové sítě a genetické algoritmy . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/61862

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):

Karásek, Štěpán. “Neuronové sítě a genetické algoritmy .” 2016. Thesis, Brno University of Technology. Accessed July 22, 2019. http://hdl.handle.net/11012/61862.

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

MLA Handbook (7th Edition):

Karásek, Štěpán. “Neuronové sítě a genetické algoritmy .” 2016. Web. 22 Jul 2019.

Vancouver:

Karásek . Neuronové sítě a genetické algoritmy . [Internet] [Thesis]. Brno University of Technology; 2016. [cited 2019 Jul 22]. Available from: http://hdl.handle.net/11012/61862.

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

Council of Science Editors:

Karásek . Neuronové sítě a genetické algoritmy . [Thesis]. Brno University of Technology; 2016. Available from: http://hdl.handle.net/11012/61862

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


Northeastern University

15. Lowell, Jessica H. BlueSANE: integrating functional blueprints with neuroevolution.

Degree: MS, Department of Computer Science, 2012, Northeastern University

Neuroevolution algorithms are an important tool for optimizing neural network design in the fields of control and machine learning. We seek to improve SANE, a… (more)

Subjects/Keywords: computer science; artificial intelligence; artificial life; functional blueprints; neuroevolution; Machine learning; Artificial intelligence; Artificial Intelligence and Robotics

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APA (6th Edition):

Lowell, J. H. (2012). BlueSANE: integrating functional blueprints with neuroevolution. (Masters Thesis). Northeastern University. Retrieved from http://hdl.handle.net/2047/d20002569

Chicago Manual of Style (16th Edition):

Lowell, Jessica H. “BlueSANE: integrating functional blueprints with neuroevolution.” 2012. Masters Thesis, Northeastern University. Accessed July 22, 2019. http://hdl.handle.net/2047/d20002569.

MLA Handbook (7th Edition):

Lowell, Jessica H. “BlueSANE: integrating functional blueprints with neuroevolution.” 2012. Web. 22 Jul 2019.

Vancouver:

Lowell JH. BlueSANE: integrating functional blueprints with neuroevolution. [Internet] [Masters thesis]. Northeastern University; 2012. [cited 2019 Jul 22]. Available from: http://hdl.handle.net/2047/d20002569.

Council of Science Editors:

Lowell JH. BlueSANE: integrating functional blueprints with neuroevolution. [Masters Thesis]. Northeastern University; 2012. Available from: http://hdl.handle.net/2047/d20002569


Brno University of Technology

16. Badáň, Filip. Evoluční algoritmy v návrhu konvolučních neuronových sítí .

Degree: 2019, Brno University of Technology

 Táto práca sa zaoberá možnosťami automatizácie návrhu neurónových sietí pomocou neuroevolúcie, t. j. využitia evolučných algoritmov pri konštruovaní umelých neurónových sietí alebo optimalizovaní ich parametrov.… (more)

Subjects/Keywords: evolučné algoritmy; genetické algoritmy; konvolučné neurónové siete; neuroevolúcia; evolutionary algorithms; genetic algorithms; convolutional neural network; neuroevolution

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APA (6th Edition):

Badáň, F. (2019). Evoluční algoritmy v návrhu konvolučních neuronových sítí . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/180414

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):

Badáň, Filip. “Evoluční algoritmy v návrhu konvolučních neuronových sítí .” 2019. Thesis, Brno University of Technology. Accessed July 22, 2019. http://hdl.handle.net/11012/180414.

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

MLA Handbook (7th Edition):

Badáň, Filip. “Evoluční algoritmy v návrhu konvolučních neuronových sítí .” 2019. Web. 22 Jul 2019.

Vancouver:

Badáň F. Evoluční algoritmy v návrhu konvolučních neuronových sítí . [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2019 Jul 22]. Available from: http://hdl.handle.net/11012/180414.

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

Council of Science Editors:

Badáň F. Evoluční algoritmy v návrhu konvolučních neuronových sítí . [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/180414

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

17. Gustafsson, Hannes. Adaptiv AI i spel och dess påverkan på det upplevda underhållningsvärdet.

Degree: Informatics, 2019, University of Skövde

Subjects/Keywords: Artificiell intelligens; Genetiska algoritmer; Realtidsevolution; Neuroevolution; Computer and Information Sciences; Data- och informationsvetenskap

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APA (6th Edition):

Gustafsson, H. (2019). Adaptiv AI i spel och dess påverkan på det upplevda underhållningsvärdet. (Thesis). University of Skövde. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-16978

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):

Gustafsson, Hannes. “Adaptiv AI i spel och dess påverkan på det upplevda underhållningsvärdet.” 2019. Thesis, University of Skövde. Accessed July 22, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-16978.

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

MLA Handbook (7th Edition):

Gustafsson, Hannes. “Adaptiv AI i spel och dess påverkan på det upplevda underhållningsvärdet.” 2019. Web. 22 Jul 2019.

Vancouver:

Gustafsson H. Adaptiv AI i spel och dess påverkan på det upplevda underhållningsvärdet. [Internet] [Thesis]. University of Skövde; 2019. [cited 2019 Jul 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-16978.

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

Council of Science Editors:

Gustafsson H. Adaptiv AI i spel och dess påverkan på det upplevda underhållningsvärdet. [Thesis]. University of Skövde; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-16978

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


University of Central Florida

18. Risi, Sebastian. Towards Evolving More Brain-Like Artificial Neural Networks.

Degree: 2012, University of Central Florida

 An ambitious long-term goal for neuroevolution, which studies how artificial evolutionary processes can be driven to produce brain-like structures, is to evolve neurocontrollers with a… (more)

Subjects/Keywords: Neat; hyperneat; neuroevolution; artificial neural networks; generative encodings; artificial evolution; Computer Sciences; Engineering; Dissertations, Academic  – Engineering and Computer Science; Engineering and Computer Science  – Dissertations, Academic

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APA (6th Edition):

Risi, S. (2012). Towards Evolving More Brain-Like Artificial Neural Networks. (Doctoral Dissertation). University of Central Florida. Retrieved from https://stars.library.ucf.edu/etd/4675

Chicago Manual of Style (16th Edition):

Risi, Sebastian. “Towards Evolving More Brain-Like Artificial Neural Networks.” 2012. Doctoral Dissertation, University of Central Florida. Accessed July 22, 2019. https://stars.library.ucf.edu/etd/4675.

MLA Handbook (7th Edition):

Risi, Sebastian. “Towards Evolving More Brain-Like Artificial Neural Networks.” 2012. Web. 22 Jul 2019.

Vancouver:

Risi S. Towards Evolving More Brain-Like Artificial Neural Networks. [Internet] [Doctoral dissertation]. University of Central Florida; 2012. [cited 2019 Jul 22]. Available from: https://stars.library.ucf.edu/etd/4675.

Council of Science Editors:

Risi S. Towards Evolving More Brain-Like Artificial Neural Networks. [Doctoral Dissertation]. University of Central Florida; 2012. Available from: https://stars.library.ucf.edu/etd/4675

19. Gallego-Durán, Francisco J. Estimating difficulty of learning activities in design stages: A novel application of Neuroevolution.

Degree: 2018, Universidad de Alicante

Subjects/Keywords: Neuroevolution; Machine learning; Learning analytics; Education; Games; Ciencia de la Computación e Inteligencia Artificial

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APA (6th Edition):

Gallego-Durán, F. J. (2018). Estimating difficulty of learning activities in design stages: A novel application of Neuroevolution. (Thesis). Universidad de Alicante. Retrieved from http://hdl.handle.net/10045/53697

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):

Gallego-Durán, Francisco J. “Estimating difficulty of learning activities in design stages: A novel application of Neuroevolution.” 2018. Thesis, Universidad de Alicante. Accessed July 22, 2019. http://hdl.handle.net/10045/53697.

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

MLA Handbook (7th Edition):

Gallego-Durán, Francisco J. “Estimating difficulty of learning activities in design stages: A novel application of Neuroevolution.” 2018. Web. 22 Jul 2019.

Vancouver:

Gallego-Durán FJ. Estimating difficulty of learning activities in design stages: A novel application of Neuroevolution. [Internet] [Thesis]. Universidad de Alicante; 2018. [cited 2019 Jul 22]. Available from: http://hdl.handle.net/10045/53697.

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

Council of Science Editors:

Gallego-Durán FJ. Estimating difficulty of learning activities in design stages: A novel application of Neuroevolution. [Thesis]. Universidad de Alicante; 2018. Available from: http://hdl.handle.net/10045/53697

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


Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

20. Χατζηδημητρίου, Κυριάκος. Μηχανισμοί ενισχυτικής μάθησης και εξελικτικής υπολογιστικής για αυτόνομους πράκτορες.

Degree: 2012, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

The ultimate goal of artificial intelligence is the creation of fully autonomous systems, which will be able to learn, reason, evolve and function in the… (more)

Subjects/Keywords: Ενισχυτική μάθηση; Εξελικτική υπολογιστική; Νευρωνικά δίκτυα; Δίκτυα ηχωικών καταστάσεων; Νευροεξέλιξη; Χρονοσειρές; Αυτόνομοι πράκτορες; Τεχνητή νοημοσύνη; Reinforcement learning; Evolutionary computing; Neural networks; Echo state networks; Neuroevolution; Time-series; Autonomous agents; Artificial intelligence

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APA (6th Edition):

Χατζηδημητρίου, . . (2012). Μηχανισμοί ενισχυτικής μάθησης και εξελικτικής υπολογιστικής για αυτόνομους πράκτορες. (Thesis). Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Retrieved from http://hdl.handle.net/10442/hedi/30602

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):

Χατζηδημητρίου, Κυριάκος. “Μηχανισμοί ενισχυτικής μάθησης και εξελικτικής υπολογιστικής για αυτόνομους πράκτορες.” 2012. Thesis, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Accessed July 22, 2019. http://hdl.handle.net/10442/hedi/30602.

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

MLA Handbook (7th Edition):

Χατζηδημητρίου, Κυριάκος. “Μηχανισμοί ενισχυτικής μάθησης και εξελικτικής υπολογιστικής για αυτόνομους πράκτορες.” 2012. Web. 22 Jul 2019.

Vancouver:

Χατζηδημητρίου . Μηχανισμοί ενισχυτικής μάθησης και εξελικτικής υπολογιστικής για αυτόνομους πράκτορες. [Internet] [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2012. [cited 2019 Jul 22]. Available from: http://hdl.handle.net/10442/hedi/30602.

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

Council of Science Editors:

Χατζηδημητρίου . Μηχανισμοί ενισχυτικής μάθησης και εξελικτικής υπολογιστικής για αυτόνομους πράκτορες. [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2012. Available from: http://hdl.handle.net/10442/hedi/30602

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

21. Hagenaars, M.J.P. Hierarchical development of physics-based animation controllers.

Degree: 2014, Universiteit Utrecht

 In this work, a developmental hierarchy is applied to the evolution of a relatively complex physics-based character animation controller. This means that the artificial neural… (more)

Subjects/Keywords: computer animation; character animation; physics-based animation; neuroevolution; neural network; evolutionary algorithm; NEAT

…graphics API. The original C++ implementation of the NEAT method (NeuroEvolution of… …control and neuroevolution. Many of the references are also found in a very useful review paper… …simplified way, how muscle strength increases with muscle length. 3.2 Neuroevolution As… …the network. In this project the NEAT method (NeuroEvolution of Augmenting Topologies… …artificial neuroevolution, which is applied to the control modules—one by one, breadth first, in… 

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APA (6th Edition):

Hagenaars, M. J. P. (2014). Hierarchical development of physics-based animation controllers. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/290020

Chicago Manual of Style (16th Edition):

Hagenaars, M J P. “Hierarchical development of physics-based animation controllers.” 2014. Masters Thesis, Universiteit Utrecht. Accessed July 22, 2019. http://dspace.library.uu.nl:8080/handle/1874/290020.

MLA Handbook (7th Edition):

Hagenaars, M J P. “Hierarchical development of physics-based animation controllers.” 2014. Web. 22 Jul 2019.

Vancouver:

Hagenaars MJP. Hierarchical development of physics-based animation controllers. [Internet] [Masters thesis]. Universiteit Utrecht; 2014. [cited 2019 Jul 22]. Available from: http://dspace.library.uu.nl:8080/handle/1874/290020.

Council of Science Editors:

Hagenaars MJP. Hierarchical development of physics-based animation controllers. [Masters Thesis]. Universiteit Utrecht; 2014. Available from: http://dspace.library.uu.nl:8080/handle/1874/290020

22. -7122-1968. Evolving scout agents for military simulations.

Degree: Computer Sciences, 2015, University of Texas – Austin

 Simulations play an increasingly significant role in training and preparing the military, particularly in environments with constrained budgets. Unfortunately, in most cases a small number… (more)

Subjects/Keywords: NEAT; Neural networks; Military simulations; Military terrain analysis; Neuroevolution; Autonomous agents

…simulated environment using Neuroevolution of Augmenting Topologies (NEAT) [19]… …vulnerability to artillery fires. 2.3 NEUROEVOLUTION AND NEAT This thesis has similar foundations as… …in this thesis are evolved using neuroevolution. Neuroevolution is the artificial evolution… …traditional neuroevolution, the topology of the network is fixed and usually consists of the sensor… …approach is Neuroevolution of Augmenting Topologies (NEAT) [19]. NEAT begins… 

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APA (6th Edition):

-7122-1968. (2015). Evolving scout agents for military simulations. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/31850

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):

-7122-1968. “Evolving scout agents for military simulations.” 2015. Thesis, University of Texas – Austin. Accessed July 22, 2019. http://hdl.handle.net/2152/31850.

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):

-7122-1968. “Evolving scout agents for military simulations.” 2015. Web. 22 Jul 2019.

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

Vancouver:

-7122-1968. Evolving scout agents for military simulations. [Internet] [Thesis]. University of Texas – Austin; 2015. [cited 2019 Jul 22]. Available from: http://hdl.handle.net/2152/31850.

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:

-7122-1968. Evolving scout agents for military simulations. [Thesis]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/31850

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


University of Central Florida

23. Hoover, Amy K. Functional Scaffolding for Musical Composition: A New Approach in Computer-Assisted Music Composition.

Degree: 2014, University of Central Florida

 While it is important for systems intended to enhance musical creativity to define and explore musical ideas conceived by individual users, many limit musical freedom… (more)

Subjects/Keywords: Computer assisted music composition; functional scaffolding for musical composition; compositional pattern producing networks; neuroevolution of augmenting topologies; interactive evolutionary computation; computer generated music; computational creativity; Computer Sciences; Engineering; Dissertations, Academic  – Engineering and Computer Science; Engineering and Computer Science  – Dissertations, Academic

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APA (6th Edition):

Hoover, A. K. (2014). Functional Scaffolding for Musical Composition: A New Approach in Computer-Assisted Music Composition. (Doctoral Dissertation). University of Central Florida. Retrieved from https://stars.library.ucf.edu/etd/4559

Chicago Manual of Style (16th Edition):

Hoover, Amy K. “Functional Scaffolding for Musical Composition: A New Approach in Computer-Assisted Music Composition.” 2014. Doctoral Dissertation, University of Central Florida. Accessed July 22, 2019. https://stars.library.ucf.edu/etd/4559.

MLA Handbook (7th Edition):

Hoover, Amy K. “Functional Scaffolding for Musical Composition: A New Approach in Computer-Assisted Music Composition.” 2014. Web. 22 Jul 2019.

Vancouver:

Hoover AK. Functional Scaffolding for Musical Composition: A New Approach in Computer-Assisted Music Composition. [Internet] [Doctoral dissertation]. University of Central Florida; 2014. [cited 2019 Jul 22]. Available from: https://stars.library.ucf.edu/etd/4559.

Council of Science Editors:

Hoover AK. Functional Scaffolding for Musical Composition: A New Approach in Computer-Assisted Music Composition. [Doctoral Dissertation]. University of Central Florida; 2014. Available from: https://stars.library.ucf.edu/etd/4559


University of Central Florida

24. Lehman, Joel. Evolution Through The Search For Novelty.

Degree: 2012, University of Central Florida

 I present a new approach to evolutionary search called novelty search, wherein only behavioral novelty is rewarded, thereby abstracting evolution as a search for novel… (more)

Subjects/Keywords: Artificial life; Bipedalism; Deception; Evolution; Evolutionary computation; Neural networks (Computer science); NeuroEvolution of Augmenting Topologies; novelty search; Computer Sciences; Engineering; Dissertations, Academic  – Engineering and Computer Science, Engineering and Computer Science  – Dissertations, Academic

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APA (6th Edition):

Lehman, J. (2012). Evolution Through The Search For Novelty. (Doctoral Dissertation). University of Central Florida. Retrieved from https://stars.library.ucf.edu/etd/2214

Chicago Manual of Style (16th Edition):

Lehman, Joel. “Evolution Through The Search For Novelty.” 2012. Doctoral Dissertation, University of Central Florida. Accessed July 22, 2019. https://stars.library.ucf.edu/etd/2214.

MLA Handbook (7th Edition):

Lehman, Joel. “Evolution Through The Search For Novelty.” 2012. Web. 22 Jul 2019.

Vancouver:

Lehman J. Evolution Through The Search For Novelty. [Internet] [Doctoral dissertation]. University of Central Florida; 2012. [cited 2019 Jul 22]. Available from: https://stars.library.ucf.edu/etd/2214.

Council of Science Editors:

Lehman J. Evolution Through The Search For Novelty. [Doctoral Dissertation]. University of Central Florida; 2012. Available from: https://stars.library.ucf.edu/etd/2214


Brno University of Technology

25. Vosol, David. Využití evolučních algoritmů při učení neuronových sítí .

Degree: 2019, Brno University of Technology

 Tato práce má za úkol nalézt a porovnat možnosti spolupráce evolučních algoritmů při učení neuronové sítě a také jejich následné porovnání s klasickým přístupem učení… (more)

Subjects/Keywords: neuroevoluce; evoluční algoritmy; genetický algoritmus; diferenciální evoluce; optimalizace hejnem částic; neuronová síť; hluboké učení; strojové učení; Python; neuroevolution; evolutionary algorithms; genetic algorithm; differential evolution; particle swarm optimization; neural network; deep learning; machine learning; Python

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APA (6th Edition):

Vosol, D. (2019). Využití evolučních algoritmů při učení neuronových sítí . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/180092

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):

Vosol, David. “Využití evolučních algoritmů při učení neuronových sítí .” 2019. Thesis, Brno University of Technology. Accessed July 22, 2019. http://hdl.handle.net/11012/180092.

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

MLA Handbook (7th Edition):

Vosol, David. “Využití evolučních algoritmů při učení neuronových sítí .” 2019. Web. 22 Jul 2019.

Vancouver:

Vosol D. Využití evolučních algoritmů při učení neuronových sítí . [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2019 Jul 22]. Available from: http://hdl.handle.net/11012/180092.

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

Council of Science Editors:

Vosol D. Využití evolučních algoritmů při učení neuronových sítí . [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/180092

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


University of Exeter

26. Duncan, Andrew Paul. The analysis and application of artificial neural networks for early warning systems in hydrology and the environment.

Degree: PhD, 2014, University of Exeter

 Artificial Neural Networks (ANNs) have been comprehensively researched, both from a computer scientific perspective and with regard to their use for predictive modelling in a… (more)

Subjects/Keywords: 004; Neural Network; ANN; Ensemble; Predictive model; urban flood prediction; bathing water quality; water quality; Bathing water directive; Feature selection; Neural pathway; Machine learning; classification; non-linear regression; receiver operating characteristic; ROC; evolutionary algorithm; neuroevolution; combined sewer overflow; combined neural pathway strength analysis; neural pathway strength diagram; UCI dataset; forest fire area; Environment Agency; manhole surcharge

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APA (6th Edition):

Duncan, A. P. (2014). The analysis and application of artificial neural networks for early warning systems in hydrology and the environment. (Doctoral Dissertation). University of Exeter. Retrieved from http://hdl.handle.net/10871/17569

Chicago Manual of Style (16th Edition):

Duncan, Andrew Paul. “The analysis and application of artificial neural networks for early warning systems in hydrology and the environment.” 2014. Doctoral Dissertation, University of Exeter. Accessed July 22, 2019. http://hdl.handle.net/10871/17569.

MLA Handbook (7th Edition):

Duncan, Andrew Paul. “The analysis and application of artificial neural networks for early warning systems in hydrology and the environment.” 2014. Web. 22 Jul 2019.

Vancouver:

Duncan AP. The analysis and application of artificial neural networks for early warning systems in hydrology and the environment. [Internet] [Doctoral dissertation]. University of Exeter; 2014. [cited 2019 Jul 22]. Available from: http://hdl.handle.net/10871/17569.

Council of Science Editors:

Duncan AP. The analysis and application of artificial neural networks for early warning systems in hydrology and the environment. [Doctoral Dissertation]. University of Exeter; 2014. Available from: http://hdl.handle.net/10871/17569


Brno University of Technology

27. Herec, Jan. Principy a aplikace neuroevoluce .

Degree: 2018, Brno University of Technology

 Práce se na teoretické úrovni zabývá evolučními algoritmy (EA), neuronovými sítěmi (NN) a jejich syntézou v podobě neuroevoluce. Z praktického hlediska je cílem práce ukázat… (more)

Subjects/Keywords: Umělá inteligence; Biocomputing; Neuronová sít; Konvoluční neuronová síť; Evoluční algoritmus; Genetický algoritmus; Evoluční strategie; Diferenciální evoluce; Neuroevoluce; Neurokontrolér; Řídicí systém; Falcon 9; Superpočítání; MNIST; Klasifikace; Artificial intelligence; Biocomputing; Neural network; Convolution neural network; Evolution algorithm; Genetic algorithm; Evolution Strategy; Differential Evolution; Neuroevolution; Neurocontroller; Control system; Falcon 9; Supercomputing; MNIST; Classification

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

APA (6th Edition):

Herec, J. (2018). Principy a aplikace neuroevoluce . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/84862

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):

Herec, Jan. “Principy a aplikace neuroevoluce .” 2018. Thesis, Brno University of Technology. Accessed July 22, 2019. http://hdl.handle.net/11012/84862.

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

MLA Handbook (7th Edition):

Herec, Jan. “Principy a aplikace neuroevoluce .” 2018. Web. 22 Jul 2019.

Vancouver:

Herec J. Principy a aplikace neuroevoluce . [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2019 Jul 22]. Available from: http://hdl.handle.net/11012/84862.

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

Council of Science Editors:

Herec J. Principy a aplikace neuroevoluce . [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/84862

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

28. Lockett, Alan Justin. General-purpose optimization through information maximization.

Degree: Computer Sciences, 2012, University of Texas – Austin

 The primary goal of artificial intelligence research is to develop a machine capable of learning to solve disparate real-world tasks autonomously, without relying on specialized… (more)

Subjects/Keywords: Optimization; General-purpose learning; Martingale optimization; Artificial intelligence; Evolutionary computation; Genetic algorithms; Simulated annealing; Evolutionary annealing; Neuroannealing; Neural networks; Neural network controllers; Neuroevolution; Differential evolution; No Free Lunch theorems; NFL Identification Theorem; Population-based stochastic optimization; Iterative optimization; Optimal optimization; Information-maximization principle; Convex control; Algorithm selection

…13.1.2 Neuroevolution . . . . . . . . . . . . . 13.1.3 Evaluating the Performance of NEAT… 

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

APA (6th Edition):

Lockett, A. J. (2012). General-purpose optimization through information maximization. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2012-05-5459

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):

Lockett, Alan Justin. “General-purpose optimization through information maximization.” 2012. Thesis, University of Texas – Austin. Accessed July 22, 2019. http://hdl.handle.net/2152/ETD-UT-2012-05-5459.

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

MLA Handbook (7th Edition):

Lockett, Alan Justin. “General-purpose optimization through information maximization.” 2012. Web. 22 Jul 2019.

Vancouver:

Lockett AJ. General-purpose optimization through information maximization. [Internet] [Thesis]. University of Texas – Austin; 2012. [cited 2019 Jul 22]. Available from: http://hdl.handle.net/2152/ETD-UT-2012-05-5459.

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

Council of Science Editors:

Lockett AJ. General-purpose optimization through information maximization. [Thesis]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/ETD-UT-2012-05-5459

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

.