Narrow-band interference suppression in spread-spectrum CDMA communications using pipelined recurrent neural networks

Wang, Solving pseudomonotone variational inequalities and pseudocon- vex optimization problems using the projection neural network, IEEE Transactions on Neural Networks 17

Wang (2006), Solving pseudomonotone variational inequalities and pseudoconvex optimization problems using the projection neural network, IEEE Trans- actions on Neural Networks,

In this paper, we have studied a neural network approach for solving general nonlinear convex programs with second-order cone constraints.. The proposed neural network is based on

Wang, A recurrent neural network for solving nonlinear convex programs subject to linear constraints, IEEE Transactions on Neural Networks, vol..

In this paper, we build a new class of neural networks based on the smoothing method for NCP introduced by Haddou and Maheux [18] using some family F of smoothing functions.

Qi (2001), Solving nonlinear complementarity problems with neural networks: a reformulation method approach, Journal of Computational and Applied Mathematics, vol. Pedrycz,

{ Title: Using neural networks to forecast the systematic risk..

using & integrating a small range of reading strategies as appropriate in a range of texts with some degree of complexity,. Understanding, inferring and