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.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Bishop, C.M.: Neural Networks for Pattern recognition. Oxford University Press, Oxford (1995)
Ciaramella, A., Tagliaferri, R., Pedrycz, W.: Fuzzy Relations Neural Network. In: Proceedings of the 10th IEEE International Conference on Fuzzy Systems, December 2001, 287
Ciaramella, A., Tagliaferri, R., Pedrycz, W., Di Nola, A.: Fuzzy Relational Neural Networks, submitted to IEEE Tran. on Neural Networks
Ciaramella, A.: Soft Computing Methodologies for Data Analysis, PhD Thesis, DMI - University of Salerno, Italy (2002)
Jang, J.S.R., Sun, C.-T., Mizutani, E.: Neuro-Fuzzy and Soft Computing (A Computational Approach to Learning and Machine Intelligence). Prentice Hall, Upper Saddle River (1997)
Lin, C.T., Lee, C.S.G.: Neural Fuzzy Systems: a Neuro-fuzzy Synergism to Intelligent Systems. Prentice Hall, Upper Saddle River (1996)
Nauck, D., Kruse, R.: NEFCLASS - a Neuro-Fuzzy Approach for the Classification of Data. In: George, K.M., Carrol, J.H., Deaton, E., Oppenheim, D., Hightower, J. (eds.) Applied Computing 1995, Proc. of the 1995 ACM Symposium on Applied Compurintg, February 26-28, ACM Press, New York (1995)
Nauck, D., Nauck, U., Kruse, R.: Generating Classification Rules with the Neuro- Fuzzy System NEFCLASS. In: Proc. Biennal. Conf. of the North America Fuzzy Information Processing Society (NAFIPS 1996), Berkeley, CA (1996)
Nabney, I.T.: Netlab Algorithms for Pattern Recognition. Springer, Heidelberg (2002)
Pedrycz, W.: Fuzzy Control and Fuzzy Systems, 2nd, extended, edn. John Wiley and Sons, New York (1993)
Prechelt, L.: PROBEN 1 - A Set of Neural Network Benchmark Problems and Benchmarking Rules, Technical Report, 21/94, September 30 (1994)
Tagliaferri, R., Ciaramella, A., Di Nola, A.: Radim Bělohlávek, Fuzzy Neural Networks Based on Fuzzy Logic Algebras Valued Relations (accepted for publication)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
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
eBook Packages: Computer ScienceComputer Science (R0)