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- W2138565570 abstract "A fuzzy logic system with center average defuzzifier, product-inference rule, nonsingleton fuzzifier and Gauss membership function is discussed. The fuzzy sets are initially defined by the cluster parameters from the Basic ISO-DATA algorithm on input space. The system is then trained via back error propagation algorithm so that the fuzzy sets are fine-tuned. The system is applied to functional EMG classification and compared with its ANN counterpart. It is superior to the latter in at least three points: higher recognition rate; insensitive to over-training; and more consistent outputs thus having higher reliability." @default.
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- W2138565570 date "2002-12-24" @default.
- W2138565570 modified "2023-09-24" @default.
- W2138565570 title "A new fuzzy approach for pattern recognition with application to EMG classification" @default.
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- W2138565570 doi "https://doi.org/10.1109/icnn.1996.549053" @default.
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