Generalization and learning error for nonlinear perceptron

Authors:
M. Shcherbina;B. Tirozzi
Affiliations:
Institute for Low Temperature Physics, Ukraine Academy of Science 47 Lenin Avenue, Kharkov, Ukraine;Department of Physics, Rome University La Sapienza 5, p-za A. Moro, Rome, Italy
Venue:
Mathematical and Computer Modelling: An International Journal
Year:
2002

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Abstract

A rigorous derivation of the asymptotic behaviour of learning and prediction error for the nonlinear perceptron is presented. The saddle-point method is used for evaluating these quantities.