Novel projection neurodynamic approaches for constrained convex optimization

This publication has 28 references indexed in Scilit:

• A Generalized Hopfield Network for Nonsmooth Constrained Convex Optimization: Lie Derivative Approach
  IEEE Transactions on Neural Networks and Learning Systems, 2015
• Discontinuous Neural Networks for Finite-Time Solution of Time-Dependent Linear Equations
  IEEE Transactions on Cybernetics, 2015
• A Projection Neural Network for Constrained Quadratic Minimax Optimization
  IEEE Transactions on Neural Networks and Learning Systems, 2015
• Proximal Algorithms
  Foundations and Trends® in Optimization, 2014
• A Recurrent Neural Network for Solving Bilevel Linear Programming Problem
  IEEE Transactions on Neural Networks and Learning Systems, 2013
• A One-Layer Projection Neural Network for Nonsmooth Optimization Subject to Linear Equalities and Bound Constraints
  IEEE Transactions on Neural Networks and Learning Systems, 2013
• On convergence rate of projection neural networks
  IEEE Transactions on Automatic Control, 2004
• Neural networks for nonlinear programming
  IEEE Transactions on Circuits and Systems, 1988
• Simple 'neural' optimization networks: An A/D converter, signal decision circuit, and a linear programming circuit
  IEEE Transactions on Circuits and Systems, 1986
• Some methods of speeding up the convergence of iteration methods
  USSR Computational Mathematics and Mathematical Physics, 1964