Seller: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germany
XIV, 424 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Advances in Intelligent Systems and Computing, Vol. 1047. Sprache: Englisch.
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032272260 ISBN 13: 9781032272269
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032272260 ISBN 13: 9781032272269
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032272260 ISBN 13: 9781032272269
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032272260 ISBN 13: 9781032272269
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032272260 ISBN 13: 9781032272269
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032272260 ISBN 13: 9781032272269
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Published by Chapman and Hall/CRC, 2024
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Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032272260 ISBN 13: 9781032272269
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032272260 ISBN 13: 9781032272269
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Published by Springer Nature Switzerland AG, Cham, 2019
ISBN 10: 3030313611 ISBN 13: 9783030313616
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Paperback. Condition: new. Paperback. This book presents real-world problems and exploratory research in computational statistics, mathematical modeling, artificial intelligence and software engineering in the context of the intelligent systems.This book constitutes the refereed proceedings of the 3rd Computational Methods in Systems and Software 2019 (CoMeSySo 2019), a groundbreaking online conference that provides an international forum for discussing the latest high-quality research results. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Add to basketPaperback. Condition: Brand New. 258 pages. 10.00x7.00x10.00 inches. In Stock.
Language: English
Published by Chapman and Hall/CRC, 2022
ISBN 10: 1032272252 ISBN 13: 9781032272252
Seller: Books From California, Simi Valley, CA, U.S.A.
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Published by VDM Verlag Dr. Müller, 2010
ISBN 10: 3639255100 ISBN 13: 9783639255102
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Taschenbuch. Condition: Neu. Novel Intelligent Adaptive Designs for the Control of Smart Systems | System-Centric Adaptive Control Designs based on Intelligent Supervisory Loops: Mathematical Modeling, Algorithm Development and Applications | Sukumar Kamalasadan | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639255102 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Published by Taylor & Francis Ltd, 2022
ISBN 10: 1032272252 ISBN 13: 9781032272252
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Published by Chapman and Hall/CRC 2022-07-20, 2022
ISBN 10: 1032272252 ISBN 13: 9781032272252
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Published by Taylor & Francis Ltd, London, 2022
ISBN 10: 1032272252 ISBN 13: 9781032272252
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Hardcover. Condition: new. Hardcover. Mathematical Modeling for Intelligent Systems: Theory, Methods, and Simulation aims to provide a reference for the applications of mathematical modeling using intelligent techniques in various unique industry problems in the era of Industry 4.0. Providing a thorough introduction to the field of soft-computing techniques, this book covers every major technique in artificial intelligence in a clear and practical style. It also highlights current research and applications, addresses issues encountered in the development of applied systems, and describes a wide range of intelligent systems techniques, including neural networks, fuzzy logic, evolutionary strategy, and genetic algorithms. This book demonstrates concepts through simulation examples and practical experimental results.Key Features:Offers a well-balanced mathematical analysis of modeling physical systemsSummarizes basic principles in differential geometry and convex analysis as neededCovers a wide range of industrial and social applications and bridges the gap between core theory and costly experiments through simulations and modelingFocuses on manifold ranging from stability of fluid flows, nanofluids, drug delivery, and security of image data to pandemic modeling, etcThis book is primarily aimed at advanced undergraduates and postgraduate students studying computer science, mathematics, and statistics. Researchers and professionals will also find this book useful. This book provides a reference for the applications of mathematical modeling using intelligent techniques in various unique industry problems in the era of Industry 4.0. Providing a thorough introduction to the field of soft computing techniques, the book covers every major technique in AI in a clear and practical style. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Taylor & Francis Ltd, 2022
ISBN 10: 1032272252 ISBN 13: 9781032272252
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First Edition
Condition: New. 2022. 1st Edition. Hardcover. . . . . .
Language: English
Published by Springer-Verlag New York Inc, 2019
ISBN 10: 3030313611 ISBN 13: 9783030313616
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketPaperback. Condition: Brand New. 440 pages. 9.25x6.10x1.04 inches. In Stock.
Language: English
Published by Taylor and Francis Ltd, GB, 2022
ISBN 10: 1032272252 ISBN 13: 9781032272252
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Hardback. Condition: New. Mathematical Modeling for Intelligent Systems: Theory, Methods, and Simulation aims to provide a reference for the applications of mathematical modeling using intelligent techniques in various unique industry problems in the era of Industry 4.0. Providing a thorough introduction to the field of soft-computing techniques, this book covers every major technique in artificial intelligence in a clear and practical style. It also highlights current research and applications, addresses issues encountered in the development of applied systems, and describes a wide range of intelligent systems techniques, including neural networks, fuzzy logic, evolutionary strategy, and genetic algorithms. This book demonstrates concepts through simulation examples and practical experimental results.Key Features:Offers a well-balanced mathematical analysis of modeling physical systemsSummarizes basic principles in differential geometry and convex analysis as neededCovers a wide range of industrial and social applications and bridges the gap between core theory and costly experiments through simulations and modelingFocuses on manifold ranging from stability of fluid flows, nanofluids, drug delivery, and security of image data to pandemic modeling, etcThis book is primarily aimed at advanced undergraduates and postgraduate students studying computer science, mathematics, and statistics. Researchers and professionals will also find this book useful.