文献类型：会议论文

英文题名：Cooperative Evolutionary Neural Network and Its Application

作者：Zhou Wei[1];Bu Yan-ping[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

会议论文集：22nd Chinese Control and Decision Conference

会议日期：MAY 26-AUG 28, 2010

会议地点：Xuzhou, PEOPLES R CHINA

语种：英文

外文关键词：particle swarm optimization algorithm; simulated annealing; cooperative search; soft-sensor

摘要：On the basis of analyzing the particle swarm optimization (PSO) algorithm, a cooperative evolutionary algorithm (SAPSO) based on PSO and simulated annealing (SA) algorithm is proposed. It can validly overcome the premature problem in PSO through cooperative search between PSO and SA. Then, SAPSO 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 demonstrate that the model has effective generalization performance, higher precision and engineering practicability.