Identification of restoring forces in non-linear vibration systems using fuzzy adaptive neural networks

被引:32
作者
Liang, YC [1 ]
Feng, DP
Cooper, JE
机构
[1] Jilin Univ, Dept Math, Changchun 130012, Peoples R China
[2] Univ Manchester, Manchester Sch Engn, Manchester M13 9PL, Lancs, England
基金
中国国家自然科学基金;
关键词
D O I
10.1006/jsvi.2000.3348
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
The fuzzy adaptive back-propagation (FABP) algorithm which combines fuzzy theory with artificial neural network techniques is applied to the identification of restoring forces in non-linear vibration systems. Simulated results I;how that the FABP algorithm is effective for the identification of dynamic systems. The FABP algorithm not only increases the training speed of the network, but also decreases the artificial interference of network parameters to a certain extent. Based upon the FABP algorithm, an improved scheme with a mutation mechanism is presented in this paper. The improved fuzzy adaptive BP (IFABP) algorithm extends the effectiveness and adaptivity of the FABP algorithm st:ill further. The successful estimation of simulated systems show that a feasible method of identification is provided, which can be used to estimate the restoring forces in non-linear vibrating systems quickly and effectively. (C) 2001 Academic Press.
引用
收藏
页码:47 / 58
页数:12
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