关键词: 暂态混沌 神经网络 函数优化

Abstract:

In this article a novel chaotic neural model whose activation function is composed ot Gaussuan and Sigrnoid functions is proposed. It is shown that the model may exhibit a complex and dynamic property. The most significant bifurcation processes,which lead to chaos, are investigated through the computation of the Lyapunov exponents. Based on this neural model, we propose a novel neural network with transient chaos. It can be applied to solving variouscomplicated optimization problems. Extensive numerical simulations show that the network has a higher ability of searching for globally optimal solutio ns and has a faster speed.

Key words: transient chaos, neural network, function optimization