[PDF.61um] Interpretability of Computational Intelligence-Based Regression Models (SpringerBriefs in Computer Science)
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Interpretability of Computational Intelligence-Based Regression Models (SpringerBriefs in Computer Science)
Tamás Kenesei, János Abonyi
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Interpretability of Computational Intelligence-Based Tamás Kenesei, János Abonyi epub Interpretability of Computational Intelligence-Based Tamás Kenesei, János Abonyi pdf download Interpretability of Computational Intelligence-Based Tamás Kenesei, János Abonyi pdf file Interpretability of Computational Intelligence-Based Tamás Kenesei, János Abonyi audiobook Interpretability of Computational Intelligence-Based Tamás Kenesei, János Abonyi book review Interpretability of Computational Intelligence-Based Tamás Kenesei, János Abonyi summary
| #8634456 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...
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