. Non linrea distortion introduced by communications channels increases the probability of error. Application of artificial neural network structures to the problem of channel equalizationin a digital communication system has been considered in this paper. The difficulties associated with channel non linearities can be overcome by equalizers employing diagonal recurrent neural network (DRNN). B...

A recurrent neural network called the dual neural network is proposed in this Letter for solving the strictly convex quadratic programming problems. Compared to other recurrent neural networks, the proposed dual network with fewer neurons can solve quadratic programming problems subject to equality, inequality, and bound constraints. The dual neural network is shown to be globally exponentially...