摘要
证明了返回扩张不动点可以生成分布混沌和ω-混沌。作为一个应用,证明了如果满足一定条件,一个瞬态混沌神经网络(TCNN)可以产生分布混沌和ω-混沌。
In this paper, we prove that a dynamical system with a snap - back repeller can gen- erate distributional chaos and co - chaos. As an application of this result, we investigate chaos in the transiently chaotic neural network （TCNN）, which is a useful system for combinatorial opti- mization, we show that if some conditions are satisfied, a transiently chaotic neural network （TCNN） can be distributional chaotic and -chaotic.
出处
《大连民族学院学报》
CAS
2013年第5期512-515,共4页
Journal of Dalian Nationalities University
基金
国家自然科学基金项目(11971245
11271061)
中央高校基本科研业务费专项资金资助项目(DC12010111)
关键词
返回扩张不动点
瞬态混沌神经网络
分布混沌
ω-混沌
snap- back repeller
transiently chaotic neural network
distributional chaos
co -chaos
