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Interpretability of Computational Intelligence-Based Regression Models (SpringerBriefs in Computer Science)

Tamás Kenesei, János Abonyi




[PDF.oi69] Interpretability of Computational Intelligence-Based Regression Models (SpringerBriefs in Computer Science)

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 | #8595327 in Books |  2015-11-16 |  2015-11-16 | Original language:English | PDF # 1 |  9.25 x.22 x6.10l,.45 | File type: PDF | 82 pages

||From the Back Cover||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 v

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 base...

You can specify the type of files you want, for your gadget.Interpretability of Computational Intelligence-Based Regression Models (SpringerBriefs in Computer Science)   |  Tamás Kenesei, János Abonyi. A good, fresh read, highly recommended.

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