摘要
本文通过介绍神经网络及人工神经元模型的要素,进行对Hopfield随机神经网络的稳定性进行研究,通过构建能量函数实现了网络稳定性,给出两个判别准则解决了Hopfield随机神经网络2周期解及稳定点存在性及其稳定点的数目问题。
This paper aims to determinate the stability of Hopfield stochastic neural network by introducing neural network and elements of artificial neuron model.New methods are developed to ensure the stability of the network by constructing a new energy function;the problem for the existence of stable points and the number of stable points of Hopfield stochastic neural network is solved by two new judgment criteria.
作者
闫爽
YAN Shuang(North China University of Science and Technology,Tangshan Hebei 063000,China)
出处
《新一代信息技术》
2019年第24期81-86,共6页
New Generation of Information Technology