Parallel and distributed computation: numerical methods
Parallel and distributed computation: numerical methods
Mathematical Programming: Series A and B
On the stability of globally projected dynamical systems
Journal of Optimization Theory and Applications
Mathematical Methods for Neural Network Analysis and Design
Mathematical Methods for Neural Network Analysis and Design
Neural Networks for Optimization and Signal Processing
Neural Networks for Optimization and Signal Processing
A constrained EM algorithm for principal component analysis
Neural Computation
The Linear Programming Approach to Approximate Dynamic Programming
Operations Research
An Extended Projection Neural Network for Constrained Optimization
Neural Computation
A Constrained EM Algorithm for Independent Component Analysis
Neural Computation
A neural network for robust LCMP beamforming
Signal Processing - Fractional calculus applications in signals and systems
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
IEEE Transactions on Neural Networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
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The output trajectory convergence of an extended projection neural network was developed under the positive definiteness condition of the Jacobian matrix of nonlinear mapping. This note offers several new convergence results. The state trajectory convergence and the output trajectory convergence of the extended projection neural network are obtained under the positive semidefiniteness condition of the Jacobian matrix. Comparison and illustrative examples demonstrate applied significance of these new results.