自组织模糊CMAC神经网络及其非线性系统辨识

ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2001, Vol. 22 ›› Issue (6): 556-558.

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SELF-ORGANIZING FUZZY CMAC NEURAL NETWORK AND ITS NONLINEAR SYSTEM IDENTIFICATION

WANG Yuan, HU Shou-song, QI Jun-wei

College of Automation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Received:2000-10-08 Revised:2001-02-25 Online:2001-12-25 Published:2001-12-25

Abstract

Abstract:

A concept of association degree is proposed and further a self-organizing fuzzy CMAC neural network and its learning algorithm are presented based on CMAC. And it is proved that the approximations provided by the SOFCMAC can be made arbitrarily accurate. The proposed network capable of local generalization is characterized by fast learning, accurate approximation, \%etc\%. In this paper, the network is used in fighter identification and satisfactory result is obtained.

Key words: CMAC, fuzzy neur al networ ks, system identification

WANG Yuan;HU Shou-song;QI Jun-wei. SELF-ORGANIZING FUZZY CMAC NEURAL NETWORK AND ITS NONLINEAR SYSTEM IDENTIFICATION[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2001, 22(6): 556-558.

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SELF-ORGANIZING FUZZY CMAC NEURAL NETWORK AND ITS NONLINEAR SYSTEM IDENTIFICATION

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