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Neural Computation, Vol 7, 1206-1224, Copyright © 1995 by The MIT Press

ARTICLES

Learning and generalization with Minimerror, a temperature-dependent learning algorithm

B Raffin and MB Gordon
CEA/Departement de Recherche Fondamentale sur la Matiere Condensee, SPSMS/MDN, Centre d'Etudes Nucleaires de Grenoble, France.

We study the numerical performances of Minimerror, a recently introduced learning algorithm for the perceptron that has analytically been shown to be optimal both on learning linearly and nonlinearly separable functions. We present its implementation on learning linearly separable boolean functions. Numerical results are in excellent agreement with the theoretical predictions.




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J COGNITIVE NEUROSCIENCE NEURAL COMPUTATION MIT PRESS JOURNALS
Copyright © 1995 by The MIT Press.