Neural network approach to computing matrix inversion

摘要

A neural network for matrix inversion is proposed. We show both analytically and by simulations that this network is guaranteed to be stable and to provide results arbitrarily close to the accurate inversion of a matrix within an elapsed time of only a few characteristic time constants of the network. The parameters such as the interconnection strengths of this network can be obtained from the known matrix without any computations.