Mechanical property prediction model of strip based on PSO-BP neural network

被引：0
|
作者：
Wang, Xiaolin [1 ]
Wang, Pengfeil [1 ]
Liu, Hongshen [1 ]
Huang, Zhenyi [1 ]
机构：
[1] Anhui Univ Technol, Dept Com Sci & technol, Maanshan 243002, Peoples R China
来源：
2007 INTERNATIONAL SYMPOSIUM ON COMPUTER SCIENCE & TECHNOLOGY, PROCEEDINGS | 2007年
关键词：
mechanical property prediction; particle swarm optimization algorithm; BP neural network; PSO-BP;
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：
Mechanic property prediction of hot rolled strip has enormous economic benefits and vast applied prospect. BP neural network is used almost in Mechanic property prediction of hot rolled strip in literatures. But BP has local infinitesimal defect. Combined with PSO (Particle Swarm Optimization) global optimization algorithm, a new PSO-BP neural network is established. The PSO-BP algorithm takes on advantages of global optimization ability, the rapid constringency of BP rapid training algorithm, the ability of nonlinear approach of multilayer feedforward network, and improves the performance of Neural Network. PSO-BP neural network model has good application foreground.
引用
收藏
页码：111 / 114
页数：4
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