A modular nerual networks based on genetic algorithm for FMS Reliability Optimization

被引：0

作者：

He, ZY ^{[1
]}

Han, YQ ^{[1
]}

Wang, HW ^{[1
]}

机构：

[1] Nanjing Univ Sci & Technol, Sch Econ & Management, Nanjing 210094, Nanjing, Peoples R China

来源：

2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS | 2003年

关键词：

reliability; neural networks (NN); FMS; genetic algorithm (GA); optimization;

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：

Reliability Optimization for FMS (flexible manufacturing system) is very important. Traditional optimal algorithms applying to FMS reliability have many shortcomings. In this article, the authors take into account the characteristics of FMS and bring forward modular Neural Networks (NN) model based on Genetic Algorithm (GA) to optimize FMS reliability. Modular NN based on GA has good convergence and short learning time. The example shows that the new algorithm is feasible and effective.

引用

页码：1413 / 1418

页数：6

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