INTERPRETABILITY OF COMPUTATIONAL INTELLIGENCE-BASED REGRESSION torrent

Author: Tamás Kenesei, János Abonyi
Edition: 1st ed. 2015 edition
Publication Date: October 23, 2015
Publisher: Springer
ISBN-10: 3319219413
ISBN-13: 978-3319219417
Pages: 82 pages
Format: pdf
Size: 1.7M

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The key idea of this book is that hinging hyperplanes, neural networks and support vector machines can be transformed into fuzzy models, and interpretability of the resulting rule-based systems can be ensured by special model reduction and visualization techniques. The first part of the book deals with the identification of hinging hyperplane-based regression trees. The next part deals with the validation, visualization and structural reduction of neural networks based on the transformation of the hidden layer of the network into an additive fuzzy rule base system. Finally, based on the analogy of support vector regression and fuzzy models, a three-step model reduction algorithm is proposed to get interpretable fuzzy regression models on the basis of support vector regression.

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