Advances in simulated modeling of vibration systems based on computational intelligence

被引：0
作者：
LEE Heow Pueh
LIM Siak Piang
LEE Kwok Hong
机构：
[1] Department of Mechanical Engineering
[2] Institute of High Performance Com-puting
[3] National University of Singapore
[4] Singapore
[5] Singapore 117528
[6] Singapore 119260
来源：
Progress in Natural Science | 2002年 / 12期
基金：
中国国家自然科学基金;
关键词：
computational intelligence; artificial neural network; fuzzy system; evolutionary computation; vibration system;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Computational intelligence is the computational simulation of the bio-intelligence, which includes artificial neural networks, fuzzy systems and evolutionary computations. This article summarizes the state of the art in the field of simulated modeling of vibration systems using methods of computational intelligence, based on some relevant subjects and the authors’ own research work. First, contributions to the applications of computational intelligence to the identification of nonlinear characteristics of packaging are reviewed. Subsequently, applications of the newly developed training algorithms for feedforward neural networks to the identification of restoring forces in multi-degree-of-freedom nonlinear systems are discussed. Finally, the neural-network-based method of model reduction for the dynamic simulation of microelectromechanical systems (MEMS) using generalized Hebbian algorithm (GHA) and robust GHA is outlined. The prospects of the simulated modeling of vibration systems using techniques of
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页码：3 / 8
页数：6
相关论文
共 21 条
[1]  
Liang,Y.C. et al.A study of packaging identification using fuzzy adaptive neural networks. Mechanics Research Communications . 2001
[2]  
Liang,Y. C.Some problems in computational intelligence and inverse problems in mechanics. Advances in Mechanics . 2000
[3]  
Liang,Y.C. et al.Proper orthogonal decomposition and its applications-Part II: Model reduction for MEMS dynamical analysis. Journal of Sound and Vibration . 2002
[4]  
Liang,Y.C. et al.Application of neural networks to identification of nonlinear characteristics in cushioning packaging. Mechanics Research Communications . 1996
[5]  
Chassiakos,A. G. et al.Modelling unknown structural systems through the use of neural networks. Earthquake Engineering and Structural Dynamics . 1996
[6]  
Chassiakos,A. G. et al.Identification of structural systems by neural networks. Mathematics and Computers in Simulation . 1996
[7]  
Liang,Y. C. et al.Identification of non-linearities in cushioning packaging using neural networks with fuzzy adaptive control. Mechanics Research Communications . 1997
[8]  
Masri,S.F. et al.Identification of nonlinear dynamic systems using neural networks. Journal of Applied Mechanics-Transactions of the ASME . 1993
[9]  
Liang,Y. C. et al.Identification of restoring forces in nonlinear vibration systems based on improved fuzzy adaptive BP algorithm. Journal of Sound and Vibration . 2001
[10]  
Adeli,H.Neural networks in civil engineering: 1989-2000. Computer Aided Civil and Infrastructure Engineering . 2001
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