A learning rule for very simple universal approximators consisting of a single layer of perceptrons-Reference-Cited by-同舟云学术

A learning rule for very simple universal approximators consisting of a single layer of perceptrons

Published:2008-06 Issue:5 Volume:21 Page:786-795
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Auer Peter,Burgsteiner Harald,Maass Wolfgang

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference26 articles.

1. Anthony, M. (2004). On learning a function of perceptrons. In Proceedings of the 2004 IEEE international joint conference on neural networks (pp. 967–972):Vol. 2

2. On the generalization error of fixed combinations of classifiers;Anthony;Journal of Computer and System Sciences,2007

3. Reducing communication for distributed learning in neural networks;Auer,2002

4. Blake, C.L., & Merz, C.J. (1998). UCI Repository of machine learning databases. Irvine, CA: University of California, Department of Information and Computer Science. http://www.ics.uci.edu/ mlearn/MLRepository.html

5. The perceptron: A model for brain functioning, I;Block;Reviews of Modern Physics,1962

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