MATLAB Simulation of Zhang Neural Networks for Time-Varying Sylvester Equation Solving

摘要：

In recent years.many studies have been reported on real-time solutions of algebraic problems including matrix inversion and linear equations solving.Recently.a speciaI kind of recurrent neural networks has been proposed by Zhang et al for online solving Sylvester equation with time-varying coemcients.Such neural networks perform much better on solving time.varying problems in comparison with gradient-based neural networks.This paper investigates MATLAB simulation of Zhang neuraI networks(ZNN)for the real-time solution of time-varying Sylvester equation.Simulation results substantiate the theoretical analysis and demonstrate the efncacy of such neuraI networks on time-varying Sylvester equation solving,especially when using the power-sigmoid activation function.

关键词： Recurrent neural networks Iinear matrix equation time-varying Sylvester equation MATLAB Simulation

作者: Yunong Zhang Weimu Ma Ke Chen Peng Li

会议类型: 国际会议

会议名称: The International Conference Information Computing and Automation(2007国际信息计算与自动化会议)

会议地点: 成都

会议语种:英文

页码: 392-395

在线出版日期: 2007-12-19（万方平台首次上网日期，不代表论文的发表时间）