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.