Sufficient condition for convergence of a relaxation algorithm in actual single-layer neural networks.
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.
Zurada
J M
JM
Dept. of Electr. Eng., Louisville Univ., KY.
Shen
W
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