Journals / Turkish Journal of Mathematics / 2001 / Cilt: 25 - Sayı: 2

Global Convergence for Discrete Dynamical Systems and Forward Neural Networks

Pages
345–354
DOI
—

Abstract

Using a theoretical result regarding the global stability of discrete dynamical systems of lower triangular form, we establish convergence properties of forward neural networks when the neuron response functions fail to be continuous.

Özet

Using a theoretical result regarding the global stability of discrete dynamical systems of lower triangular form, we establish convergence properties of forward neural networks when the neuron response functions fail to be continuous.

Keywords: Turk. J. Math., 25, (2001), 345-354. Full text: pdf Other articles published in the same issue: Turk. J. Math., vol.25, iss.2.