混沌神经系统的动态行为及其在优化问题中的应用

T. Tanaka, E. Hiura
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引用次数: 8

摘要

考虑了具有混沌动力学的模拟神经元模型,并研究了由该神经元组成的混沌神经网络。混沌神经元模型有一个由分段正弦映射演化而来的内变量,它表现出混沌行为。将混沌神经网络应用于一个定义良好的优化问题,以考察该模型的计算能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamical behavior of a chaotic neural and its application to optimization problems
A model of an analog neuron with chaotic dynamics has been considered, and a chaotic neural network composed of this neuron has also been studied. The chaos neuron model has an internal variable which is evolved by a piecewise sine map, and it shows chaotic behavior. The chaotic neural network is applied to a well-defined optimization problem in order to investigate computational abilities of the present model.
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