Abstract
The random search method is well known as an optimization technique by which a global search of multimodal systems can be executed, but its convergence characteristics are not good. In order to improve the convergence characteristics of the random search method, an idea of the modification of the search probability may be used. There is the method of learning control using stochastic automata [1] as a method based on this idea. The proposed method of learning control using fuzzy automata in which the membership function [2] is used instead of the probability is more simple in the learning algorithm and able to realize more clear self-organizing operation as compared with that using stochastic automata.
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References
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© 1971 Plenum Press, New York
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Asai, K., Kitajima, S. (1971). Learning Control of Multimodal Systems by Fuzzy Automata. In: Fu, K.S. (eds) Pattern Recognition and Machine Learning. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-7566-5_17
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DOI: https://doi.org/10.1007/978-1-4615-7566-5_17
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