Mathematical Programming: Series A and B
Foundations of robotics: analysis and control
Foundations of robotics: analysis and control
Modified Projection-Type Methods for Monotone Variational Inequalities
SIAM Journal on Control and Optimization
Mathematical Methods for Neural Network Analysis and Design
Mathematical Methods for Neural Network Analysis and Design
A neuromorphic model for achromatic and chromatic surface representation of natural images
Neural Networks - 2004 Special issue Vision and brain
On Convergence Conditions of an Extended Projection Neural Network
Neural Computation
An Extended Projection Neural Network for Constrained Optimization
Neural Computation
A new neural network for solving linear and quadratic programming problems
IEEE Transactions on Neural Networks
A general methodology for designing globally convergent optimization neural networks
IEEE Transactions on Neural Networks
A high-performance feedback neural network for solving convex nonlinear programming problems
IEEE Transactions on Neural Networks
A neural network for a class of convex quadratic minimax problems with constraints
IEEE Transactions on Neural Networks
Neural network for quadratic optimization with bound constraints
IEEE Transactions on Neural Networks
Synthesis of Brain-State-in-a-Box (BSB) based associative memories
IEEE Transactions on Neural Networks
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Robotics and Computer-Integrated Manufacturing
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A new one-layer neural network for linear and quadratic programming
IEEE Transactions on Neural Networks
Neurogenetic approach for solving dynamic programming problems
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Neural network solution of optimal control problem with control and state constraints
ICANN'11 Proceedings of the 21st international conference on Artificial neural networks - Volume Part II
A dynamical model for solving degenerate quadratic minimax problems with constraints
Journal of Computational and Applied Mathematics
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
Neural networks solving free final time optimal control problem
TPNC'12 Proceedings of the First international conference on Theory and Practice of Natural Computing
Solving general convex nonlinear optimization problems by an efficient neurodynamic model
Engineering Applications of Artificial Intelligence
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This paper proposes a new recurrent neural network for solving nonlinear projection equations. The proposed neural network has a one-layer structure and is suitable for parallel implementation. The proposed neural network is guaranteed to be globally convergent to an exact solution under mild conditions of the underlying nonlinear mapping. Compared with existing neural networks for nonlinear optimization, the asymptotical stability and exponential stability of the the proposed network are obtained without the smooth condition of the nonlinear mapping. The proposed neural network can be used to find the equilibrium point of both the projection neural network and Hopfield-type neural network. Therefore, the proposed neural network is a good solver for a wider class of optimization and related problems. Illustrative examples further show that the proposed neural network can obtain a more accurate solution with a faster convergence rate than existing relevant methods.