New Mass-Assignment-Based Fuzzy CMAC and I ts Learning Convergence
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    Abstract:

    In this paper, based on the mass assignment theory proposed by J.F. Baldwin et al. , the new mass assignment based fuzzy CMAC is presented. Accordingly, its learning rules are also investigated. The theoretical research results reveal that this new mass assignment based fuzzy CMAC is a universal approximator, and has its learning convergence. Therefore, this new fuzzy CMAC has very important potentials of applications.

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王士同,J. F. Baldwin, T. P. Martin.新的基于mass-assignment的模糊CMAC神经网络及其学习收敛性.软件学报,2001,12(6):816-821

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History
  • Received:June 01,1999
  • Revised:December 24,1999
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