A fast learning algorithm of the perception

Abstract

In this paper a new learning algorithm of perception with variable paces is given which adjusts its weights and threshold values according to the following formulation W (K + 1) = W (K) - 2W (K)X KTX K. A theorem shows that the algorithm must be convergence after finite steps. © 2012 Springer-Verlag GmbH.