Chaotic Neural Networks and Their Applications in Optimization Problem

摘要：

This paper presents a kind of chaotic neural network, which combines stochastic with deterministic property to introduce chaos mechanism into Hopfield neural network to coarsely search the optimum under chaotic dynamics and control the chaotic dynamics by annealing strategy to perform inverse bifurcation and disappear. After that, the gradient property of HNN is used to reach stable point. Simulation results show that such an algorithm can avoid getting stuck in local minima.

关键词： Neural Networks Transient Chaos OptimizationProblems

作者: Xu Yaoqun Wu Gang Jian Liu

作者单位: Harbin Commecial University Harbin, Heilongjiang 150076, P. R. China Harbin Commecial University Harbin, Heilongjiang 150076,P.R.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: 304-305

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）