| A Neural Network Method for Reliability Optimizations of Complex Systems |
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| 引用本文： | PAN Zhongliang CHEN Ling ZHANG Guangzhao. A Neural Network Method for Reliability Optimizations of Complex Systems[J]. 武汉大学学报:自然科学英文版, 2007, 12(1): 139-142. DOI: 10.1007/s11859-006-0248-1 |
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| 作者姓名： | PAN Zhongliang CHEN Ling ZHANG Guangzhao |
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| 作者单位： | [1]School of Physics and Telecommunications Engineering,South China Normal University, Guangzhou 510631, Guangdong,China; [2]Department of Electronics, Sun Yat-sen University,Guangzhou 510275, Guangdong, China |
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| 基金项目： | Foundation Item： Supported by the National Natural Science Foundation of China （60006002） and Natural Science Research Project of Education Department of Guangdong Province of China （02019） |
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| 摘 要： | 0 Introduction The reliability has become a key factor in the design and operation of complex systems[1]. In general, the de- sign of a system involves numerous discrete choices among available component types based on reliability, cost, performance etc. …
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| 关 键 词： | 神经网络 可靠性 系统优化 计算机 |
| 文章编号： | 1007-1202（2007）01-0139-04 |
| 收稿时间： | 2006-05-20 |
A neural network method for reliability optimizations of complex systems |
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| Pan Zhongliang,Chen Ling,Zhang Guangzhao. A neural network method for reliability optimizations of complex systems[J]. Wuhan University Journal of Natural Sciences, 2007, 12(1): 139-142. DOI: 10.1007/s11859-006-0248-1 |
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| Authors: | Pan Zhongliang Chen Ling Zhang Guangzhao |
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| Affiliation: | (1) School of Physics and Telecommunications Engineering, South China Normal University, Guangzhou, 510631, Guangdong, China;(2) Department of Electronics, Sun Yat-sen University, Guangzhou, 510275, Guangdong, China |
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| Abstract: | The main task of system reliability design is to find the best layout of components to maximize reliability or to minimize cost. A reliability optimization approach using neural networks to identify the choice of components in series-parallel systems with multiple constraints is presented in this paper. The McCullochPittes neural network model is used in this approach. The design methods of the neural network construction and its energy function are described in detail. The optimal solutions of the reliability problem are obtained by minimizing the energy function of the neural networks. Simulation results show the reliability optimization approach using neural networks can find the optimal or near-optimal solutions for most of the problems in a relatively short time, it is a useful alternative for system reliability design of complex systems. |
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| Keywords: | series-parallel systems system reliability optimization neural networks |
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