06002378

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06002378 Huang, Jingchun Xiao, Jian A cloud model based on wavelet neural networks. Control Theory Appl. 28, No. 1, 53-57 (2011). 2011 South China University of Technology, Guangzhou ZH cloud model wavelet neural networks multi-resolution analysis Summary: A cloud model is an uncertain inference system based on linguistic rules. The number of linguistic rules is usually increased to improve the accuracy of identification. The high-dimensionality of the input space will cause the curse of dimensionality. To solve this problem a wavelet network cloud model (WNCM) is proposed. A wavelet neural network is used to substitute the consequent part of the cloud model. A structure and learning algorithm for the WNCM are designed. Simulation results and comparisons with other methods indicate that WNCM can approximate arbitrary nonlinear functions. The accuracy of identification is realized without increasing linguistic rules.