The minimum entropy network

Abstract

It is shown that, using as basic building block a linear neuron with an anti-Hebb rule and restricted weights, an asymmetric network which computes the eigenvectors in the ascending order of their corresponding eigenvalues can be built. The conditions for their convergence are obtained and demonstrated by simulations.<>