Asymptotic Stationarity of Discrete-time Stochastic Neural Networks

Sheng Zhaohan; Wang Tao

doi:10.1016/0893-6080(95)00131-x

Asymptotic Stationarity of Discrete-time Stochastic Neural Networks

Neural Netw. 1996 Aug;9(6):957-963. doi: 10.1016/0893-6080(95)00131-x.

Authors

Sheng Zhaohan¹, Wang Tao

Affiliation

¹ Southeast University, Nanjing, People's Republic of China

PMID: 12662575
DOI: 10.1016/0893-6080(95)00131-x

Abstract

This paper deals with a class of synchronous discrete-time stochastic neural network models. Dynamic stabilities (or asymptotic stationarities) are analysed for two sub-classes of the models, i.e., a class of stochasticized models from Little, and a class of Hopfield-type stochastic models. Copyright 1996 Elsevier Science Ltd.