Design of BP Network Based on Immune Genetic Algorithm

摘要：

This paper uses an immune genetic algorithm to design back-propagation network. It retains the ability of stochastic global searching of traditional of traditional genetic algorithms an draws into the interaction mechanism based on density which exists in living beings immune procedure. The high efficacy of the immune genetic algorithm in designing neural network has been proved by the experiment.

关键词： genetic algorithm premature convergence density

作者: Mo Hongwei

作者单位: Automation College, Harbin Engineering University, Harbin, China

会议类型: 国际会议

会议名称: 2007国际导航制导控制学术会议

会议地点: 北京

会议语种:英文

页码: 301-303

在线出版日期: 2007-11-04（万方平台首次上网日期，不代表论文的发表时间）