Generalization by neural networks

The authors discuss the requirements of learning for generalization, where the traditional methods based on gradient descent have limited success. A stochastic learning algorithm based on simulated annealing in weight space is presented. The authors verify the convergence properties and feasibility...

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Bibliographic Details
Published inIEEE transactions on knowledge and data engineering Vol. 4; no. 2; pp. 177 - 185
Main Authors Shekhar, S., Amin, M.B.
Format Journal Article
LanguageEnglish
Published IEEE 01.04.1992
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