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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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發(fā)表于 2025-3-23 13:43:11 | 只看該作者
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發(fā)表于 2025-3-23 16:34:54 | 只看該作者
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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發(fā)表于 2025-3-23 19:50:29 | 只看該作者
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發(fā)表于 2025-3-24 00:40:48 | 只看該作者
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發(fā)表于 2025-3-24 08:49:40 | 只看該作者
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發(fā)表于 2025-3-24 13:29:26 | 只看該作者
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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發(fā)表于 2025-3-24 17:56:15 | 只看該作者
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發(fā)表于 2025-3-25 01:50:29 | 只看該作者
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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