The Bayes decision theories and fussy pattern recognition theories are important branch of fuzzy pattern recognition, they are widely used in many fields.
In this paper, based on studying the Bayes decision theories and fussy pattern recognition theories, using the MATLAB language to program, a suppressed Bayes classifer and fuzzy clustering algorithm is proposed. Besides, suppressed fuzzy network algorithm is present according to the same idea. Completed the design that minimum mistake rate Bayes classification machine, improvement Bayes classification machine, according to fuzzy c-means clustering algorithm classification machine, according to the fuzzy Kohonen clustering network, according to the fuzzy ISODATA clustering, according to the that fuzzy K-Nearly the method, the fuzzy BP network classification machine, the fuzzy Elman network classification machine and fuzzy network of RBF categorizes the machine.
As the proposed algorithm’s applications, surface electromyogra-
phic(SEMG) is valid. Experimental results indicate that these algorithms are valid.