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基于混沌脉冲耦合神经网络系统的信号跟踪
引用本文:马义德,王新.基于混沌脉冲耦合神经网络系统的信号跟踪[J].兰州大学学报(自然科学版),2010,46(1).
作者姓名:马义德  王新
作者单位:兰州大学,信息科学与工程学院,兰州,730000
基金项目:国家自然科学基金项目(60572011,60872109);;教育部新世纪优秀人才支持计划项目(NCET-06-0900);;甘肃省自然科学基金项目(0710RJZA015);;国家大学生创新性实验计划项目(860052)
摘    要:根据脉冲耦合神经网络能产生混沌现象,研究了对混沌PCNN系统配置控制序列来达到对参考信号追踪的方法。基于离散线性系统的稳定性理论,根据参考信号情况,配置不同参数,设计不同的控制序列来改变混沌系统,达到信号跟踪的要求。仿真和实验结果证明了该算法的有效性,实现了混沌PCNN系统对参考信号的追踪。

关 键 词:脉冲耦合神经网络  李雅普诺夫指数  混沌  信号追踪  

Signal tracking of the chaotic system of pulse coupled neural network
MA Yi-de,WANG Xin.Signal tracking of the chaotic system of pulse coupled neural network[J].Journal of Lanzhou University(Natural Science),2010,46(1).
Authors:MA Yi-de  WANG Xin
Institution:School of Information Science and Engineering/a>;Lanzhou University/a>;Lanzhou 730000/a>;China
Abstract:According to the fact that the pulse coupling neural network can display chaotic phenomenon under certain condition,the method for configuring an control sequence for the chaotic PCNN system to set the system tracking the reference signal was studied.Based on the stability theory of discrete-time systems, this paper conducted a survey of the PCNN,in which different parameters were allocated,according to the specific circumstance,to make the control sequence alter the chaotic system so as to achieve the goal...
Keywords:pulse coupled neural network  Lyapunov exponent  chaos  signal tracking  
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