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Titlebook: Computational Intelligence in Automotive Applications; Danil Prokhorov Book 20081st edition Springer-Verlag Berlin Heidelberg 2008 Automot

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發(fā)表于 2025-3-21 16:09:12 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Computational Intelligence in Automotive Applications
編輯Danil Prokhorov
視頻videohttp://file.papertrans.cn/233/232467/232467.mp4
概述Presents recent automotive applications of Computational Intelligence.Includes supplementary material:
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Computational Intelligence in Automotive Applications;  Danil Prokhorov Book 20081st edition Springer-Verlag Berlin Heidelberg 2008 Automot
描述What is computational intelligence (CI)? Traditionally, CI is understood as a collection of methods from the ?elds of neural networks (NN), fuzzy logic and evolutionary computation. Various de?nitions and opinions exist, but what belongs to CI is still being debated; see, e.g., [1–3]. More recently there has been a proposal to de?ne the CI not in terms of the tools but in terms of challenging problems to be solved [4]. With this edited volume I have made an attempt to give a representative sample of contemporary CI activities in automotive applications to illustrate the state of the art. While CI researchand achievements in some specialized ?elds described (see, e.g., [5, 6]), this is the ?rst volume of its kind dedicated to automotive technology. As if re?ecting the general lack of consensus on what constitutes the ?eld of CI, this volume 1 illustrates automotive applications of not only neural and fuzzy computations which are considered to be the “standard” CI topics, but also others, such as decision trees, graphicalmodels, Support Vector Machines (SVM), multi-agent systems, etc. This book is neither an introductory text, nor a comprehensive overview of all CI research in this a
出版日期Book 20081st edition
關(guān)鍵詞Automotive Applications; Automotive Engineering; Computational Intelligence; Computer Vision; Toyota; aut
版次1
doihttps://doi.org/10.1007/978-3-540-79257-4
isbn_softcover978-3-642-42425-0
isbn_ebook978-3-540-79257-4Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2008
The information of publication is updating

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https://doi.org/10.1007/978-3-319-06197-9), and that relates detected degradations in vehicles to accurate remaining life-time predictions (viz., prognosis) is required to minimize downtime, improve resource management via condition-based maintenance, and minimize operational costs.
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An Integrated Diagnostic Process for Automotive Systems,), and that relates detected degradations in vehicles to accurate remaining life-time predictions (viz., prognosis) is required to minimize downtime, improve resource management via condition-based maintenance, and minimize operational costs.
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Extraction of Maximum Support Rules for the Root Cause Analysis,rinciples is presented, considering both the numerical measurement results and the nominal process factors. This combined analysis allows to associate the process parameters with the measurement results and therefore to identify the main drivers for quality deterioration of a manufacturing process.
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