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Fast generating algorithm for a general 3-layer perceptron

Zollner, R., Schmitz, H. J., Wünsch, Friedrich and Krey, Uwe (1992) Fast generating algorithm for a general 3-layer perceptron. Neural Networks 5 (5), pp. 771-777.

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Abstract

A fast iterative algorithm is proposed for the construction and the learning of a neural net achieving a classification task, with an input layer, one intermediate layer, and an output layer The network is able to learn an arbitrary training set. The algorithm does not depend on a special learning scheme (e.g., the couplings can be determined by modified Hebbian prescriptions or by more complex ...

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Item type:Article
Date:September 1992
Institutions:Physics > Others > Dr. Friedrich Wünsch
Identification Number:
ValueType
10.1016/S0893-6080(05)80138-8DOI
Dewey Decimal Classification:500 Science > 530 Physics
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Unknown
Item ID:26804
Owner only: item control page

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