Abstract
In this paper, a Fuzzy Neural Network based on a fuzzy relational “IF-THEN” reasoning scheme (FRNN) is described. Different experiments on benchmark data from the UCI repository of Machine learning database are proposed for classification and approximation tasks. The model is compared with some other methods known in literature pointing out the fundamental features of the model.
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Ciaramella, A., Tagliaferri, R., Pedrycz, W., Di Nola, A. (2006). Fuzzy Relational Neural Network for Data Analysis. In: Di Gesú, V., Masulli, F., Petrosino, A. (eds) Fuzzy Logic and Applications. WILF 2003. Lecture Notes in Computer Science(), vol 2955. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10983652_14
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DOI: https://doi.org/10.1007/10983652_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31019-8
Online ISBN: 978-3-540-32683-0
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