A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
Passivity Analysis of Coupled Stochastic Neural Networks with Multiweights
2021
Discrete Dynamics in Nature and Society
In this paper, we devote to the investigation of passivity in two types of coupled stochastic neural networks (CSNNs) with multiweights and incompatible input and output dimensions. First, some new definitions of passivity are proposed for stochastic systems that may have incompatible input and output dimensions. By utilizing stochastic analysis techniques and Lyapunov functional method, several sufficient conditions are respectively developed for ensuring that CSNNs without and with multiple
doi:10.1155/2021/9688627
fatcat:f6b6qkkzhbbjjfi644ae3j6gwq