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Titlebook: Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition; Serkan Kiranyaz,Turker Ince,Moncef Gabbouj Book

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發(fā)表于 2025-3-21 16:04:16 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition
編輯Serkan Kiranyaz,Turker Ince,Moncef Gabbouj
視頻videohttp://file.papertrans.cn/641/640303/640303.mp4
概述Presents a new optimization technique.Characterized by an emphasis on solving real-world problems.Supported by source code and datasets.Includes supplementary material:
叢書名稱Adaptation, Learning, and Optimization
圖書封面Titlebook: Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition;  Serkan Kiranyaz,Turker Ince,Moncef Gabbouj Book
描述.For many engineering problems we require optimization processes with dynamic adaptation as we aim to establish the dimension of the search space where the optimum solution resides and develop robust techniques to avoid the local optima usually associated with multimodal problems. This book explores multidimensional particle swarm optimization, a technique developed by the authors that addresses these requirements in a well-defined algorithmic approach. .?.After an introduction to the key optimization techniques, the authors introduce their unified framework and demonstrate its advantages in challenging application domains, focusing on the state of the art of multidimensional extensions such as global convergence in particle swarm optimization, dynamic data clustering, evolutionary neural networks, biomedical applications and personalized ECG classification, content-based image classification and retrieval, and evolutionary feature synthesis. The content is characterizedby strong practical considerations, and the book is supported with fully documented source code for all applications presented, as well as many sample datasets. .?.The book will be of benefit to researchers and prac
出版日期Book 2014
關鍵詞Content-based image retrieval; Data clustering; Evolutionary computing; Evolutionary feature synthesis;
版次1
doihttps://doi.org/10.1007/978-3-642-37846-1
isbn_softcover978-3-642-43762-5
isbn_ebook978-3-642-37846-1Series ISSN 1867-4534 Series E-ISSN 1867-4542
issn_series 1867-4534
copyrightSpringer-Verlag Berlin Heidelberg 2014
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沙發(fā)
發(fā)表于 2025-3-21 22:18:28 | 只看該作者
板凳
發(fā)表于 2025-3-22 02:15:04 | 只看該作者
Book 2014ation and retrieval, and evolutionary feature synthesis. The content is characterizedby strong practical considerations, and the book is supported with fully documented source code for all applications presented, as well as many sample datasets. .?.The book will be of benefit to researchers and prac
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發(fā)表于 2025-3-22 07:53:58 | 只看該作者
978-3-642-43762-5Springer-Verlag Berlin Heidelberg 2014
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發(fā)表于 2025-3-22 11:17:31 | 只看該作者
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發(fā)表于 2025-3-22 15:01:08 | 只看該作者
Serkan Kiranyaz,Turker Ince,Moncef GabboujPresents a new optimization technique.Characterized by an emphasis on solving real-world problems.Supported by source code and datasets.Includes supplementary material:
7#
發(fā)表于 2025-3-22 18:59:04 | 只看該作者
Adaptation, Learning, and Optimizationhttp://image.papertrans.cn/n/image/640303.jpg
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發(fā)表于 2025-3-22 21:28:34 | 只看該作者
https://doi.org/10.1007/978-3-642-37846-1Content-based image retrieval; Data clustering; Evolutionary computing; Evolutionary feature synthesis;
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