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A non-linear noise canceller based on the additive-multiplicative fuzzy neural network (AMFNN) is proposed in this paper. The novel noise canceller has the advantages of neural networks, such as parallel-distributed information processing, fault-tolerance and robustness. In this paper, AMFNN is used to approximate noise, and the noise approximated is(More)
In additive-multiplicative fuzzy neural networks (AMFNN), its membership functions have no adaptability and the number of fuzzy rules is determined subjectively. In this paper, a generalized additive-multiplicative fuzzy neural network (generalized AMFNN) is presented, and the parameters of membership functions can be adjusted. Therefore, there are many(More)
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