Cooperative Evolutionary Neural Network and Its Application

被引：0

作者：

Zhou Wei ^{[1
]}

Bu Yanping ^{[2
]}

机构：

[1] East China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China

[2] Shanghai Jiao Tong Univ, Sch Technol, Shanghai 201101, Peoples R China

来源：

PROCEEDINGS OF THE 29TH CHINESE CONTROL CONFERENCE | 2010年

关键词：

Particle Swarm Optimization Algorithm; Simulated Annealing; Soft-sensor; Melt-index;

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：

In this paper, particle swarm optimization (PSO) algorithm is analyzed, which is a new kind of swarm intelligent optimal algorithm. The studies on PSO algorithm concentrate on the combination of artificial neural network and simulated annealing algorithm. A cooperative evolutionary algorithm (SAPSO) based on PSO and simulated annealing algorithm is proposed. The SAPSO algorithm is employed to train artificial neural network and applied to soft-sensing of melt-index of High Pressure Low-Density Polyethylene yield. The simulation results show that these models have higher measuring precision as well as better generalization ability.

引用

页码：1541 / 1545

页数：5

共 7 条

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