Stability of stochastic Hopfield neural networks driven by G-Brownian motion with time-varying and distributed delays.
Fanhong ZhangChen FeiWeiyin FeiPublished in: Neurocomputing (2023)
Keyphrases
- brownian motion
- hopfield neural network
- lyapunov function
- stochastic process
- differential equations
- optimal control
- stochastic processes
- diffusion process
- poisson process
- global exponential stability
- exponential stability
- vector valued
- cellular neural networks
- queue length
- heavy traffic
- genetic algorithm
- energy function
- markov chain
- stochastic differential equations
- stochastic model
- inventory level
- learning rules
- interior point methods
- closed form
- sufficient conditions
- reinforcement learning
- bayesian networks
- neural network