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Fuzzy relational system identification with neural net

Liu Weijie  
On the basis of the concepts of the normal fuzzy-subset set and possibility measure, a general method for BP neural net to receive fuzzy samples is presented, with which a fuzzy relational system identification algorithm and an adjusting algorithm are obtained. An ex- periment on an oven heating process control shows that the algorithms can combine and memorize both data samples and fuzzy subsets samples in the neural net and bring about the suitable representation of fuzzy relational equations.
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