Viability theory
Some new projection methods for variational inequalities
Applied Mathematics and Computation
On Convergence Conditions of an Extended Projection Neural Network
Neural Computation
A new neural network for solving nonlinear projection equations
Neural Networks
A new projection-based neural network for constrained variational inequalities
IEEE Transactions on Neural Networks
Subgradient-based neural networks for nonsmooth nonconvex optimization problems
IEEE Transactions on Neural Networks
A delayed neural network for solving linear projection equations and its analysis
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
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This paper introduces a projection-based generalized neural network, which can be used to solve a class of nonsmooth convex optimization problems It generalizes the existing projection neural networks for solving the optimization problems In addition, the existence and convergence of the solution for the generalized neural networks are proved Moreover, we discuss the application to nonsmooth convex optimization problems And two illustrative examples are given to show the efficiency of the theoretical results.