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Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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In den WarenkorbZustand: New.
Sprache: Englisch
Verlag: Springer, Berlin|Springer International Publishing|Vieweg+Teubner-Verlag|Springer, 2023
ISBN 10: 3030422291 ISBN 13: 9783030422295
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Sprache: Englisch
Verlag: Springer-Nature New York Inc, 2023
ISBN 10: 3030422291 ISBN 13: 9783030422295
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In den WarenkorbPaperback. Zustand: Brand New. 3rd edition. 653 pages. 9.25x6.10x1.32 inches. In Stock.
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Taschenbuch. Zustand: Neu. Computational Intelligence | A Methodological Introduction | Rudolf Kruse (u. a.) | Taschenbuch | Texts in Computer Science | xiv | Englisch | 2023 | Springer | EAN 9783030422295 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook provides a clear and logical introduction to the field, covering the fundamental concepts, algorithms and practical implementations behind efforts to develop systems that exhibit intelligent behaviorin complex environments. This enhanced third edition has been fully revised and expanded with new content on deep learning, scalarization methods, large-scale optimization algorithms, and collective decision-making algorithms.Features: provides supplementary material at an associated website; contains numerous classroom-tested examples and definitions throughout the text; presents useful insights into all that is necessary for the successful application of computational intelligence methods; explains the theoretical background underpinning proposed solutions to common problems; discusses in great detail the classical areas of artificial neural networks, fuzzy systems and evolutionary algorithms; reviews the latest developments in the field, covering such topics as ant colony optimization and probabilistic graphical models.