Search for new learning rules for Cellular Neural Networks using Genetic Programming

Elsayed Radwan; Eiichiro Tazaki

doi:10.11499/sicep.2004.0.12.1

SICE Annual Conference 2004

DOI https://doi.org/10.11499/sicep.2004.0.12.1

Conference information

Host: The Society of Instrument and Control Engineers

Co-host: The IEEE Industrial Electronics Society, The IEEE Robotics and Automation Society, The IEEE Control Systems Society, The IEEE Systems, Man and Cybernetics Society, The Instrumentation, Systems, and Automation Society

Search for new learning rules for Cellular Neural Networks using Genetic Programming

*Elsayed Radwan, Eiichiro Tazaki

Author information

Keywords: Genetic Programming, Cellular Neural Network, Supervised learning

CONFERENCE PROCEEDINGS FREE ACCESS

Pages 12

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Abstract

We propose a new technique based upon Genetic Programming to discover new learning rules for Cellular Neural Networks. We choose Genetic Programming because of its ability to discover the values of rule parameter and the form of the rules. A new supervised learning algorithm has been discovered and comparison with other different methods is taken into account

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