Research on Structure Dynamic Neural Network

摘要：

A model of structure dynamic neural network,which is simulates the learning skills such as human beings and animals,is presented.This model contains two main steps: 1) The structure learning phase possesses the ability of online generation and ensures the number of the neural nodes of the neural network; 2) The parameter learning phase adjusts the interconnection weights of neural network to achieve favourable approximation performance.The structure learning algorithm consists of growing and pruning methods,and then the Lyapunov stability theory is used to analyze the stability of this algorithm.Finally,we use this new neural network to track the nonlinear functions,simulation results show that this new algorithm can achieve favourable performance.

关键词： neural network structure structure dynamic task scheduling growing and pruning methods.

作者: QIAO Jun-fei HAN Hong-gui LI Xin-yuan

作者单位: College of Electronic and Control Engineering,Beijing University of Technology,Beijing,China.

会议类型: 国际会议

会议名称: International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)

会议地点: 上海

会议语种:英文

在线出版日期: 2008-06-29（万方平台首次上网日期，不代表论文的发表时间）