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Cellular Neural Networks-Based Genetic Algorithm for Optimizing the Behavior of an Unstructured Robot

A new learning algorithm for advanced robot locomotion is presented in this paper. This method involves both Cellular Neural Networks (CNN) technology and an evolutionary process based on genetic algorithm (GA) for a learning process. Learning is formulated as an optimization problem. CNN Templates...

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Detalles Bibliográficos
Main Authors: Alireza Fasih, Jean Chamberlain Chedjou, Kyandoghere Kyamakya
Formato: Artigo
Idioma:Inglês
Publicado: Springer 2009-06-01
Series:International Journal of Computational Intelligence Systems
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Acceso en liña:https://www.atlantis-press.com/article/1875.pdf
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