Chaos control on Universal Learning Network

被引：0
|
作者：
Kyushu Univ, Japan [1 ]
机构：
来源：
Memoirs of the Kyushu University, Faculty of Engineering | 1996年 / 56卷 / 01期
关键词：
Chaos theory - Lyapunov methods - Neural networks - System stability;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A method is proposed for controlling chaotic phenomena on Universal Learning Network (U.L.N.). Generation and die-out of chaotic phenomena are realized by changing Lyapunov Number of U.L.N. to positive and negative value respectively, which is accomplished by adjusting U.L.N. parameters so as to minimize a criterion function that is the difference between the desired Lyapunov Number and its actual value. Both a gradient method utilizing second order derivatives of U.L.N. and a random search method are adopted to optimize the parameters.
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页码：15 / 33
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