By Tamás Kenesei,János Abonyi
The key proposal of this ebook is that hinging hyperplanes, neural networks and help vector machines will be remodeled into fuzzy versions, and interpretability of the ensuing rule-based structures may be ensured by way of unique version relief and visualization strategies. the 1st a part of the e-book bargains with the id of hinging hyperplane-based regression bushes. the subsequent half offers with the validation, visualization and structural aid of neural networks in keeping with the transformation of the hidden layer of the community into an additive fuzzy rule base approach. eventually, in accordance with the analogy of help vector regression and fuzzy versions, a three-step version aid set of rules is proposed to get interpretable fuzzy regression types at the foundation of help vector regression.
The authors exhibit real-world use of the algorithms with examples taken from technique engineering, they usually help the textual content with downloadable Matlab code. The e-book is appropriate for researchers, graduate scholars and practitioners within the parts of computational intelligence and laptop learning.
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