主催: The Society of Instrument and Control Engineers
共催: 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
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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