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

Tamás Kenesei, János Abonyi




[PDF.vc51] Interpretability of Computational Intelligence-Based Regression Models (SpringerBriefs in Computer Science)

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 | #8591212 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 easily download any file type for your device.Interpretability of Computational Intelligence-Based Regression Models (SpringerBriefs in Computer Science)   |  Tamás Kenesei, János Abonyi. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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