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| Advances in simulated modeling of vibration systems based on computational intelligence | |
| 引用本文： | LIANG Yanchun,LEE Heow Pueh,LIN Wuzhong,LIM Siak Piang,LEE Kwok Hong,ZHOU Chunguang. Advances in simulated modeling of vibration systems based on computational intelligence[J]. 自然科学进展(英文版), 2002, 12(12): 881-886 |
| 作者姓名： | LIANG Yanchun LEE Heow Pueh LIN Wuzhong LIM Siak Piang LEE Kwok Hong ZHOU Chunguang |
| 作者单位： | College of Computer Science and Technology, Jilin University, Changchun 130012, China;Institute of High Performance Computing, Singapore 117528;Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences,Beijing 100080,China,Institute of High Performance Computing, Singapore 117528,Institute of High Performance Computing, Singapore 117528,Department of Mechanical Engineering, National University of Singapore, Singapore 119260, Singapore,Department of Mechanical Engineering, National University of Singapore, Singapore 119260, Singapore,College of Computer Science and Technology, Jilin University, Changchun 130012, China |
| 基金项目： | Supported by the National Natural Science Foundation of China (Grant Nos. 19872027, 60175024) |
| 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 computational intelligence are also indicated. |
| 关 键 词： | computational intelligence artificial neural network fuzzy system evolutionary computation vibra |
Advances in simulated modeling of vibration systems based on computational intelligence |
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| LIANG Yanchun,LEE Heow Pueh,LIN Wuzhong,LIM Siak Piang,LEE Kwok Hong,Zhou Chunguang. Advances in simulated modeling of vibration systems based on computational intelligence[J]. Progress in Natural Science, 2002, 12(12): 881-886 | |
| Authors: | LIANG Yanchun LEE Heow Pueh LIN Wuzhong LIM Siak Piang LEE Kwok Hong Zhou Chunguang |
| Affiliation: | 1. College of Computer Science and Technology, Jilin University, Changchun 130012, China;Institute of High Performance Computing, Singapore 117528;Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sci 2. Institute of High Performance Computing, Singapore 117528 3. Department of Mechanical Engineering, National University of Singapore, Singapore 119260, Singapore 4. College of Computer Science and Technology, Jilin University, Changchun 130012, China |
| Abstract: | 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 computational intelligence are also indicated. |
| Keywords: | computational intelligence artificial neural network fuzzy system evolutionary computation vibra |
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