Abstract
In the paper we develop a new method for designing and reduction of flexible neuro-fuzzy systems. The method allows to reduce number of discretization points in the defuzzifier, number of rules, number of inputs, and number of antecedents. The performance of our approach is illustrated on a typical benchmark.
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Cpalka, K. (2006). A Method for Designing Flexible Neuro-fuzzy Systems. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Żurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2006. ICAISC 2006. Lecture Notes in Computer Science(), vol 4029. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11785231_23
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DOI: https://doi.org/10.1007/11785231_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35748-3
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