Complex recurrent neural network for computing the inverse and pseudo-inverse of the complex matrix

摘要

A complex recurrent neural network (CRNN) is formulated and applied to compute the complex matrix inverse in real time. Both full rank and rank deficient matrices are considered. This paper extends recent works which apply real recurrent neural networks for rear-valued matrix inversion. (C) 1998 Elsevier Science Inc. All rights reserved. [References: 12]