Genetic Algorithm Optimization on Crane Transmission in Neural Network

被引：0

作者：

Xi Pingyuan ^{[1
]}

Gui Yan ^{[1
]}

Wang Bing

机构：

[1] Huaihai Inst Technol, Dept Mech Engn, Lianyungang 222005, Jiangsu Prov, Peoples R China

来源：

ICCSE 2008: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION: ADVANCED COMPUTER TECHNOLOGY, NEW EDUCATION | 2008年

关键词：

Crane Mechanism; Genetic Algorithm Optimization; Neural Networks;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The fuzzy optimization mathematic model is established to design crane transmission. The method of second-class comprehensive evaluation was used by the optimal level cut set, thus the optimal level value of every fuzzy constraint can be attained, and the fuzzy optimization is transformed into the usual optimization. The Fast Back Propagation of neural network algorithm is adopted to train feed-forward networks so as to fit relative coefficient. Then the fitness function with penalty terms is built by penalty strategy, neural networks program is recalled, solver functions of Genetic Algorithm Toolbox of Matlab software are adopted to solve the optimization mathematic model.

引用

页码：89 / 91

页数：3

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