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Titlebook: Do Smart Adaptive Systems Exist?; Best Practice for Se Bogdan Gabrys,Kauko Leivisk?,Jens Strackeljan Book 2005 Springer-Verlag Berlin Heide

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書(shū)目名稱(chēng)Do Smart Adaptive Systems Exist?
副標(biāo)題Best Practice for Se
編輯Bogdan Gabrys,Kauko Leivisk?,Jens Strackeljan
視頻videohttp://file.papertrans.cn/283/282261/282261.mp4
概述Practical guide for experts from other areas and industrial users who are interested in building solutions to their problems using intelligent techniques.Focusing on best practices when using intellig
叢書(shū)名稱(chēng)Studies in Fuzziness and Soft Computing
圖書(shū)封面Titlebook: Do Smart Adaptive Systems Exist?; Best Practice for Se Bogdan Gabrys,Kauko Leivisk?,Jens Strackeljan Book 2005 Springer-Verlag Berlin Heide
描述.Do Smart Adaptive Systems Exist?. is intended as a reference and a guide summarising and focusing on best practices when using intelligent techniques and building systems requiring a degree of adaptation and intelligence...It is therefore not intended as a collection of the most recent research results, but as a practical guide for experts from other areas and industrial users interested in building solutions to their problems using intelligent techniques. One of the main issues covered is an attempt to answer the question of how to select and/or combine suitable intelligent techniques from a large pool of potential solutions. ..Another attractive feature of the book is that it brings together experts from neural network, fuzzy, machine learning, evolutionary and hybrid systems communities who will provide their views on how these different intelligent technologies have contributed and will contribute to creation of smart adaptive systems of the future. .
出版日期Book 2005
關(guān)鍵詞algorithms; artificial neural network; data mining; evolution; expert system; fuzzy; fuzzy control; fuzzy s
版次1
doihttps://doi.org/10.1007/3-540-32374-0
isbn_softcover978-3-642-06320-6
isbn_ebook978-3-540-32374-7Series ISSN 1434-9922 Series E-ISSN 1860-0808
issn_series 1434-9922
copyrightSpringer-Verlag Berlin Heidelberg 2005
The information of publication is updating

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Evolving Connectionist Systems with Evolutionary Self-Optimisatioon-line and off-line parameter optimisation and feature weighting of ECOS and have shown to be effective in enhancing ECOS’ performance. The proposed methods could lead to the development of fully autonomous, selforganised and self-optimised systems that learn in a life long learning mode from diffe
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Examples of Smart Adaptive Systems in Model-Based Diagnosisnd two from manufacturing industries. In spite of totally different application areas, synergies are easy to see and similar approaches can be used in both areas. It is also clear that both areas can learn from each other..Fuzzy logic seems to be the tool that most easily applies to diagnosis task.
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https://doi.org/10.1007/3-540-32374-0algorithms; artificial neural network; data mining; evolution; expert system; fuzzy; fuzzy control; fuzzy s
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