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Titlebook: Innovations in Intelligent Machines -3; Contemporary Achieve Ivan Jordanov,Lakhmi C. Jain Book 2013 Springer Berlin Heidelberg 2013 Computa

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發(fā)表于 2025-3-21 18:35:57 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Innovations in Intelligent Machines -3
副標(biāo)題Contemporary Achieve
編輯Ivan Jordanov,Lakhmi C. Jain
視頻videohttp://file.papertrans.cn/468/467131/467131.mp4
概述Latest research on Contemporary Achievements in Intelligent Systems.Includes applications and case studies from various fields such as traffic control, environmental parameters monitoring, business, c
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Innovations in Intelligent Machines -3; Contemporary Achieve Ivan Jordanov,Lakhmi C. Jain Book 2013 Springer Berlin Heidelberg 2013 Computa
描述.This book aims to promote a sample of current theoretical and application oriented intelligent systems research specifically in the field of neural networks computing. It presents examples of experimental and real-world investigations that demonstrate contemporary achievements and advances in the area of intelligent systems. .?.This book will prove as a valuable source of up-to-date theoretical and application oriented research in intelligent systems for researchers and postgraduate students..?.
出版日期Book 2013
關(guān)鍵詞Computational Intelligence; Contemporary Achievements in Intelligent Systems; Intelligent Systems
版次1
doihttps://doi.org/10.1007/978-3-642-32177-1
isbn_softcover978-3-642-44143-1
isbn_ebook978-3-642-32177-1Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer Berlin Heidelberg 2013
The information of publication is updating

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978-3-642-44143-1Springer Berlin Heidelberg 2013
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地板
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Ivan Jordanov,Lakhmi C. JainLatest research on Contemporary Achievements in Intelligent Systems.Includes applications and case studies from various fields such as traffic control, environmental parameters monitoring, business, c
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發(fā)表于 2025-3-22 13:26:17 | 只看該作者
Studies in Computational Intelligencehttp://image.papertrans.cn/i/image/467131.jpg
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Market Power Assessment Using Hybrid Fuzzy Neural Network,he output consists of the fuzzy values of FCMI. To train the FNN a number of training patterns, covering the full operating range of the power system, are generated using the system data such as offer prices and operating constraints. OPF results are used to compute the above three market power indi
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