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In this paper, we develop a fuzzy neural network (FNN) with a new BP learning algorithm using some smooth function, which is used to refine or tune the local and global weights of fuzzy production rules (FPRs) so as to enhance the representation power of FPRs by including local and global weights. By experimenting our method with some existing benchmark examples, the proposed method is found have...
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