An Improved PSO-BP Network Model

摘要：

An improved network model to adjust weights of BP network based on particle swarm optimization(PSO) was proposed. The fuzzy control was used to assign the different weight to PSO and BP algorithm during different periods. PSO algorithm plays a main role in the previous evolution period, and BP algorithm plays a vital roal in later period. The model can overcome the slow convergence and easily getting into the local extremum of basic BP algorithm, and can also improve the learning ability and generalization ability with a higher precision. The simulation results show that the improved PSO-BP network model has higher accuracy and quicker response than the traditional model.

关键词： Particle Swarm Optimization (PSO) BP Network Fuzzy control

作者: Jinxia Ren Shuai Yang

作者单位: School of Mechanical and Electronic Engineering Jiangxi University of Science and Technology Ganzhou, China

会议类型: 国际会议

会议名称: Third International Symposium on Information Science and Engineering(第三届信息科学与工程国际会议 ISISE 2010)

会议地点: 上海

会议语种:英文

页码: 426-429

在线出版日期: 2010-12-24（万方平台首次上网日期，不代表论文的发表时间）