Statistical Features in Learning

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We study some features of learning models based on "delayed" and undifferentiated reinforcement and realized by simple algorithms which may be considered of a very elementary nature. We show that a modification of the Hebb-rule works well for this problem in a neural network realization and study numerically its convergence properties. An illustration for a more "concrete" situation is provided.
13 pages, 7 figures; LEARNING'98 Madrid; 2 notations, 1 typo corrected

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Condensed Matter, Adaptation and Self-Organizing Systems

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http://salesiana.dossiersoluciones.com/handle/123456789/28597

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cond-mat/9809135
 http://arxiv.org/abs/cond-mat/9809135

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arXiv