| 七鳃鳗神经系统的混沌仿真 |
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| 引用本文： | 张平健,杜雷,李运龙. 七鳃鳗神经系统的混沌仿真[J]. 系统仿真学报, 2011, 0(11): 2552-2555 |
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| 作者姓名： | 张平健 杜雷 李运龙 |
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| 作者单位： | 华南理工大学软件学院;华南理工大学计算机科学与工程学院; |
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| 摘 要： | 使用WLC网络模型对七鳃鳗神经系统进行建模,提出一种计算最大李亚普诺夫指数的新方法——改进的小数据量法,典型非线性系统的仿真结果表明,同Wolf方法相比,新算法得到的结果更加精确。基于新算法的数值仿真表明,当没有外界刺激时,七鳃神经系统处于稳定状态,随着外界刺激的不断增加,七鳃鳗神经系统逐渐进入混沌状态,但是,当外部刺激增加到一定程度以后,七鳃神经系统又回到稳定状态。
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| 关 键 词： | WLC网络 七鳃鳗神经系统 李亚普诺夫指数 混沌 小数据量法 |
Chaos Simulation of Lamprey Neural System |
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| ZHANG Ping-jian,DU Lei,LI Yun-long. Chaos Simulation of Lamprey Neural System[J]. Journal of System Simulation, 2011, 0(11): 2552-2555 |
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| Authors: | ZHANG Ping-jian DU Lei LI Yun-long |
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| Affiliation: | ZHANG Ping-jian1,DU Lei2,LI Yun-long2(1.School of Software Engineering,South China University of Technology,Guangzhou 510641,China,2.School of Computer Science and Engineering,China) |
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| Abstract: | A model was set up for the Lamprey neural system using the Winnerless Competition(WLC) networks.An improved small dataset method for computing the largest Lyapunov exponent was proposed and applied to chaos detection.Application to classical non-linear systems shows that the new algorithm not only works effectively but also achieves better accuracy than the Wolf method.The new algorithm is then employed to study the chaotic properties of the Lamprey neural system.Simulation results demonstrate that under so... |
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| Keywords: | WLC networks lamprey neural system lyapunov exponent chaos small dataset method |
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