Pseudoconvex optimization problem, as an important nonconvex optimization problem, plays an important role in scientific and engineering applications. In this paper, a recurrent one-layer neural network is proposed for solving the pseudoconvex optimization problem with equality and inequality constraints. It is proved that from any initial state, the state… (More)

@article{Qin2017AOR,
title={A One-Layer Recurrent Neural Network for Pseudoconvex Optimization Problems With Equality and Inequality Constraints},
author={Sitian Qin and Xiudong Yang and Xiaoping Xue and Jiahui Song},
journal={IEEE Transactions on Cybernetics},
year={2017},
volume={47},
pages={3063-3074}
}