Asymptotic Stationarity of Discrete-time Stochastic Neural Networks.
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.
Zhaohan
Sheng
S
Southeast University, Nanjing, People's Republic of China
Tao
Wang
W