研究一类离散和分布时变时滞的混沌神经网络的广义投影同步问题。
In this paper, the problem of general projective synchronization of a class of chaotic neural networks with discrete and distributed time-varying delays is investigated.
对反馈神经网络进行了研究，在分析现有混沌神经网络的工作原理的基础上，提出一种新的混沌神经网络模型。
The study of the feedback neural network, the analysis of the work principle of Hopfield neural network lead to a neural network model with chaotic character .
提出一种关于多层前向神经网络结构的混沌优化设计方法。
The optimization design method is proposed for feed-forward neural network structure by means of chaos ergodicity and randomicity.
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