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Journal Article

A flexible connectionist fuzzy system

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2004) 3019 618-625
DOI: 10.1007/978-3-540-24669-5_81
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Abstract

In this paper we derive flexible neuro-fuzzy systems based on Yager's triangular norms. We incorporate various flexibility parameters into their construction. The parameters are learned by the standard recursive gradient procedures with constraints. The performance is illustrated on a typical approximation problem. © Springer-Verlag Berlin Heidelberg 2004.

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Cpałka, K. (2004). A flexible connectionist fuzzy system. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3019, 618–625. https://doi.org/10.1007/978-3-540-24669-5_81

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