Stochastic Dynamics of Discrete-Time Fuzzy Random BAM Neural Networks with Time Delays
By using the semidiscrete method of differential equations, a new version of discrete analogue of stochastic fuzzy BAM neural networks was formulated, which gives a more accurate characterization for continuous-time stochastic neural networks than that by the Euler scheme. Firstly, the existence of...
Main Authors: | Sufang Han, Tianwei Zhang, Guoxin Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2019-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2019/9416234 |
Similar Items
-
Mean almost periodicity and moment exponential stability of semi-discrete random cellular neural networks with fuzzy operations.
by: Sufang Han, et al.
Published: (2019-01-01) -
Delay-Dependent Exponential Stability for Discrete-Time BAM Neural Networks with Time-Varying Delays
by: Yonggang Chen, et al.
Published: (2008-01-01) -
Synchronization of Discrete-Time Stochastic Neural Networks with Random Delay
by: Haibo Bao, et al.
Published: (2011-01-01) -
Dynamics of Fuzzy BAM Neural Networks with Distributed Delays and Diffusion
by: Qianhong Zhang, et al.
Published: (2012-01-01) -
New Stabilization Method for Delayed Discrete-Time Cohen–Grossberg BAM Neural Networks
by: Er-Yong Cong, et al.
Published: (2020-01-01)