An improved BP NN for Nonlinear System Identification Based on PSO

摘要：

Nonlinear system identification is to control engineering problems to be solved.Based on the deep analysis about BP neural network and particle swarm optimization,this paper puts forward the advantage in particle swarm optimization solving multi-object optimization problems will be introduced to the neural network training,provides a solution to optimization problem of the compromise of the accuracy and fastness of the neural network.Simulation experiments achieve greater precise identification results,and verify the effectiveness of the algorithm.

关键词： BP neural networks identify particle swarm optimization algorithms optimization

作者: BiyingZhou

作者单位: Department of Computer Science and Technology,Weinan Teachers University,Weinan 714000,Shaanxi,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 480-483

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）