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.
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Luengo, J., García, S., Herrera, F. (2007). A Study on the Use of Statistical Tests for Experimentation with Neural Networks. In: Sandoval, F., Prieto, A., Cabestany, J., Graña, M. (eds) Computational and Ambient Intelligence. IWANN 2007. Lecture Notes in Computer Science, vol 4507. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73007-1_10
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DOI: https://doi.org/10.1007/978-3-540-73007-1_10
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