title: Sufficient condition for convergence of a relaxation algorithm in actual single-layer neural networks.
abstract: Application of the contraction mapping theorem to single-layer feedback neural networks of a gradient-type is discussed. The sufficient condition for stability of a relaxation algorithm in actual continuous-time networks is derived and illustrated with an example. Results showing the stability of a numerical solution obtained with the relaxation algorithm are presented.
authors.affiliation: Dept. of Electr. Eng., Louisville Univ., KY.
authors.forename: J M
authors.initials: JM
authors.lastname: Zurada
authors.forename: W
authors.initials: W
authors.lastname: Shen