A study on the use of statistical tests for experimentation with neural networks

Authors:
Julián Luengo;Salvador García;Francisco Herrera
Affiliations:
University of Granada, Department of Computer Science and Artificial Intelligence, E.T.S.I. Informática, Granada, Spain;University of Granada, Department of Computer Science and Artificial Intelligence, E.T.S.I. Informática, Granada, Spain;University of Granada, Department of Computer Science and Artificial Intelligence, E.T.S.I. Informática, Granada, Spain
Venue:
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Year:
2007

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Abstract

In this work, we get focused on the use of statistical techniques for behavior analysis of Artificial Neural Networks in the task of classification. A study of the non-parametric tests use is presented, using some well-known models of neural networks. The results show the need of using non-parametric statistic, because the Artificial Neural Networks used do not verify the hypothesis required for classical parametric tests.