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Neural Networks, ISSN 0893-6080, 07/2018, Volume 103, pp. 83 - 93
This paper discusses impulsive synchronization of stochastic reaction–diffusion neural networks with Dirichlet boundary conditions and hybrid time delays. By... 
Stochastic analysis | Synchronization | Impulse | Stochastic reaction–diffusion neural networks | Mixed time delays | Algorithms | Stochastic Processes | Time Factors | Diffusion | Computer Simulation | Neural Networks (Computer) | Numerical analysis | Image processing | Neural networks | Analysis
Journal Article
Neurocomputing, ISSN 0925-2312, 09/2016, Volume 207, pp. 539 - 547
Journal Article
Neural Networks, ISSN 0893-6080, 08/2019, Volume 116, pp. 35 - 45
Journal Article
Neural Networks, ISSN 0893-6080, 10/2018, Volume 106, pp. 281 - 293
Journal Article
Neurocomputing, ISSN 0925-2312, 2011, Volume 74, Issue 17, pp. 3084 - 3091
Journal Article
Neurocomputing, ISSN 0925-2312, 01/2018, Volume 272, pp. 334 - 342
Journal Article
Neural Processing Letters, ISSN 1370-4621, 8/2017, Volume 46, Issue 1, pp. 83 - 111
In this paper, we propose hybrid reaction–diffusion Cohen–Grossberg neural networks (RDCGNNs) with variable coefficients and mixed time delays. By using the... 
Computational Intelligence | Impulsive | Complex Systems | Computer Science | Artificial Intelligence (incl. Robotics) | p th moment exponential stability | Stochastic | Reaction–diffusion neural networks | Mixed time delays | pth moment exponential stability | Neural networks | Parathyroid hormone | Analysis
Journal Article
Applied Mathematics and Computation, ISSN 0096-3003, 08/2019, Volume 354, pp. 115 - 127
This paper addresses the issue of non-fragile output-feedback control for master-slave chaos synchronization of reaction-diffusion time-delay neural networks... 
Reaction diffusion | Stochastic disturbance | Neural network | Time delay | Chaos synchronization | Output feedback | CRITERIA | MATHEMATICS, APPLIED | DESIGN | EXPONENTIAL STABILITY | FILTER | SAMPLED-DATA SYNCHRONIZATION | MULTIAGENT SYSTEMS | CONSENSUS | VARYING DELAYS | COMPLEX DYNAMICAL NETWORKS | SUBJECT | Computer science | Neural networks | Analysis
Journal Article
Neurocomputing, ISSN 0925-2312, 07/2012, Volume 89, pp. 55 - 63
Journal Article
Neurocomputing, ISSN 0925-2312, 01/2018, Volume 275, pp. 470 - 477
The aim of this paper is to develop some theories of mild solutions to reaction–diffusion stochastic Hopfield neural networks with S-type distributed time... 
Existence–uniqueness | Stochastic Hopfield neural networks | Stability | S-type delays | Reaction–diffusion | GLOBAL EXPONENTIAL STABILITY | ROBUST STABILITY | EQUATIONS |