BP Network Optimization based on Improved Genetic Algorithm

摘要：

　　In view of the virtue and shortage of genetic algorithm and BP network,this paper proposes a new BP network training method based on improved genetic algorithm (IGA-BP).This algorithm uses hierarchical code,adaptive crossover and mutation,pruning similar chromosomes,dynamic supply new chromosomes and other operations,so the network structure and weight are optimized at the same time and the premature phenomenon is avoided.The simulation results show that the IGA-BP network architecture is simple,the convergence rate is quick,and has good approximation and generalization ability.

关键词： genetic algorithm BP network hierarchical code adaptive pruning

作者: Weiwei Sun Yunfei Yao Chunsheng Wang Yegang Hu

作者单位: School of Mathematics and Computational Science, Fuyang Normal CollegeFuyang, 236029, China

会议类型: 国际会议

会议名称: 2012 2nd international Conference on Materials Science and Information Technology(2012第二届材料科学与信息技术国际会议)(MSIT2012)

会议地点: 西安

会议语种:英文

页码: 1757-1763

在线出版日期: 2012-08-24（万方平台首次上网日期，不代表论文的发表时间）