A Robotic Scenario for Programmable Fixed-Weight Neural Networks Exhibiting Multiple Behaviors-Reference-Cited by-同舟云学术

A Robotic Scenario for Programmable Fixed-Weight Neural Networks Exhibiting Multiple Behaviors

Published:2011 Issue: Volume: Page:250-259
ISSN:0302-9743
Container-title:Adaptive and Natural Computing Algorithms
language:
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Author:

Montone Guglielmo,Donnarumma Francesco,Prevete Roberto

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-20282-7_26

Reference15 articles.

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3. Blynel, J., Floreano, D.: Exploring the T-Maze: Evolving Learning-Like Robot Behaviors using CTRNNs. In: 2nd European Workshop on Evolutionary Robotics (2003)

4. De Falco, I., Cioppa, A.D., Donnarumma, F., Maisto, D., Prevete, R., Tarantino, E.: CTRNN parameter learning using differential evolution. In: ECAI 2008, vol. 178, pp. 783–784 (July 2008)

5. Donnarumma, F.: A Model for Programmability and Virtuality in Dynamical Neural Networks. PhD thesis, Università di Napoli Federico II (2010)

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