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A structure equivalent fuzzy radial basis function (FRBF) neural network with five layers is proposed in this paper. A two stage algorithm for the parameters learning of the network is presented, which first determine the center value and width of the membership function according to the classification information of training samples, and then adjusts the weights between the fourth layer and the fifth...
There are two problems when conditional T-S fuzzy neural network is used directly in speech recognition system. One is the rule disaster problem, that is, the rule number will increase exponentially with the increase of input dimensions. Another problem is the network reasoning failure resulted from input dimensions too large. The paper presented an improved algorithm of T-S fuzzy neural network....
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