Abstract
In this paper a learning method of Artificial Neural Network Based on Fuzzy Inference System (ANNBFIS) is presented. It is based on deterministic annealing, ε−insensitive learning by solving a system of linear inequalities, and robust fuzzy c-means clustering. To find the unknown number of fuzzy if-then rules we proposed the procedure of robust clusters merging. The performance of the learning method was demonstrated through the benchmark sunspot prediction problem.
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Czabanski, R., Jezewski, M., Horoba, K., Jezewski, J., Wrobel, J. (2010). Robust Prediction with ANNBFIS System. In: Nguyen, N.T., Le, M.T., Świątek, J. (eds) Intelligent Information and Database Systems. ACIIDS 2010. Lecture Notes in Computer Science(), vol 5991. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12101-2_20
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DOI: https://doi.org/10.1007/978-3-642-12101-2_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12100-5
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