The application of neural network and evolutionary algorithm in mechanical optimal design

被引：0

作者：

Chen, K ^{[1
]}

Zhao, H ^{[1
]}

Ke, ZZ ^{[1
]}

机构：

[1] Hefei Univ Technol, Hefei 230009, Peoples R China

来源：

PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5 | 2000年

关键词：

neural network; gene algorithm; evolutionary algorithm; mechanical optimal design;

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：

This paper discusses the application of several neural network models and evolutionary algorithm in mechanical optimal design. A time-varing recurrent neural network model, Hopfield model, BP model, Boltamann model, Gauss model, evolution neural network model and evolutionary algorithm and their applications in mechanical optimal design an discussed also.

引用

页码：156 / 159

页数：4