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Titlebook: Interpretability of Computational Intelligence-Based Regression Models; Tamás Kenesei,János Abonyi Book 2015 The Author(s) 2015 Fuzzy Logi

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Introduction,(ANNs) and fuzzy models, powerful and interpretable models can be developed. This introduction presents the motivation for handling these techniques in one integrated framework and describes the structure of the book.
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Interpretability of Hinging Hyperplanes,ely, the Gauss-Newton algorithm can be used to obtain the final nonlinear model [34]. Several application examples have also been published in the literature; e.g., it can be used in the identification of piecewise affine systems via mixed-integer programming [36], and this model also lends itself to forming hierarchical models [19].
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Emmanuel Muller,Uwe Gundrum,Knut Koschatzkyns (SPP) in thin metal films, a phenomenon which is exploited in the design of a large variety of physico-chemical optical sensors. In this treatment, crucial materials aspects for design and optimization of SPR sensors are investigated and described in detail. The text covers a selection of nanomet
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