Deqiang Zeng

Synchronization in Probability of Reaction–Diffusion Neural Networks Under Stochastic Sampling Governed by Infinite Discrete Distributions

This paper generalizes stochastic sampled-data synchronization of reaction–diffusion neural networks (RDNNs) from sampling distributions with finite support to infinite discrete distributions, whose sampling intervals are drawn from a countably infinite set {qi}i=1∞ with probabil...