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Traditional fuzzy neural network tends to be used for parameters identification and the network structure is separated by grids, so there are obvious defects in this mode of control design. This paper introduces a flexibly model of self-organizing fuzzy neural network according to specific network structure. We analyze its structure and containing parameters and propose an improved nearest neighbor clustering algorithm first for the predicting model of online identification. For parameterdoi:10.2174/1874444301406011287 fatcat:ilehzne77rd4rn55spqtlnazsi