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Application of fuzzy neural network control to automatic train operation and tuning of its control rules

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3 Author(s)
Sekine, S. ; Syst. & Software Eng. Lab., Toshiba Corp., Kawasaki, Japan ; Imasaki, N. ; Endo, T.

We have proposed two-degree-of-freedom fuzzy neural network control systems. It has a hierarchical structure of two sets of control knowledge, thus it is easy to extract and refine fuzzy rules before and after the operation has started, and the number of fuzzy rules is reduced. This paper shows an example application of automatic train operation and presents a rule tuning method

Published in:
Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int  (Volume:4 )

Date of Conference: 20-24 Mar 1995

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