Stability Analysis of Gradient-Based Neural Networks for Optimization Problems
Journal of Global Optimization
Journal of Global Optimization
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Information Sciences: an International Journal
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In this paper we study three different classes of neural network models for solving linear programming problems. We investigate the following characteristics of each model: model complexity, complexity of individual neurons, and accuracy of solutions. Simulation examples are given to illustrate the dynamical behavior of each model