Abstract
In the paper we develop a new method for designing and reduction of neuro-fuzzy systems. The method is based on the concept of the weighted triangular norms. In subsequent stages we reduce number of inputs, number of rules and number of antecedents. Simulation results are given.
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Cpalka, K., Rutkowski, L. (2008). An Application of Weighted Triangular Norms to Complexity Reduction of Neuro-fuzzy Systems. In: Rutkowski, L., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing – ICAISC 2008. ICAISC 2008. Lecture Notes in Computer Science(), vol 5097. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69731-2_21
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DOI: https://doi.org/10.1007/978-3-540-69731-2_21
Publisher Name: Springer, Berlin, Heidelberg
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