Employing the Friedrichs' inequality to ensure global exponential stability of delayed reaction-diffusion neural networks with nonlinear boundary conditions.
Puchen LiuGuoyan CaoPublished in: Neurocomputing (2020)
Keyphrases
- reaction diffusion
- boundary conditions
- global exponential stability
- sufficient conditions
- neural network
- diffusion equation
- hopfield neural network
- boundary value problem
- cellular neural networks
- shape from shading
- finite element model
- activation function
- multilayer perceptron
- linear systems
- higher order
- single image