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# A feedback neural network for solving convex constraint optimization problems

@article{Yang2008AFN, title={A feedback neural network for solving convex constraint optimization problems}, author={Yongqing Yang and Jinde Cao}, journal={Applied Mathematics and Computation}, year={2008}, volume={201}, pages={340-350} }

- Published 2008 in Applied Mathematics and Computation
DOI:10.1016/j.amc.2007.12.029

In this paper, a feedback neural network model is presented by two steps. Firstly, a convex sub-optimization problem with bound constraints is established by introducing an energy function and the neural subnetwork for solving the suboptimization problem is constructed based on the projection method. Secondly, a feedback neural network is proposed by using the subnetwork and can converge to an exact optimal solution of primal optimization problem. The distinguishing features of the proposed… CONTINUE READING