Computational Intelligence: A Methodological Introduction - Rilegato

Kruse, Rudolf; Mostaghim, Sanaz; Borgelt, Christian; Braune, Christian; Steinbrecher, Matthias

Rilegato

ISBN 10: 3030422267 ISBN 13: 9783030422264

Casa editrice: Springer-Nature New York Inc, 2022

Riassunto

<div>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 behavior&nbsp;in 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.&nbsp;<br></div><div><div><br></div><div>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.</div></div>

Su questo libro

Informazioni sull?autore

<p><b>Dr. Rudolf Kruse</b>&nbsp;is the former leader of the Computational Intelligence Research Group and now Emeritus Professor of the Department of Computer Science at the University of Magdeburg, Germany.&nbsp;<b>Dr. Sanaz Mostaghim</b>&nbsp;is a full Professor of Computer Science and&nbsp;<b>Dr.</b>&nbsp;<b>Christian Braune</b>&nbsp;is a Senior Lecturer at the same institution.&nbsp;<b>Dr. Christian Borgelt</b>&nbsp;is a Professor of Data Science at the Paris Lodron University of Salzburg, Austria.&nbsp;<b>Dr. Matthias Steinbrecher</b>&nbsp;is a Development Architect at SAP SE, Potsdam, Germany.&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;</p><p>&nbsp;</p>

Dalla quarta di copertina

<div>Computational intelligence comprises concepts, paradigms, algorithms, and implementations of systems that are intended to exhibit intelligent behavior in complex environments. It relies heavily on (at least) nature-inspired methods, which have the advantage that they tolerate incomplete, imprecise and uncertain knowledge and thus also facilitate finding solutions that are approximative, manageable and robust at the same time.<br></div><div><br></div><div>Fully updated, this new edition of the authoritative textbook provides a clear and logical introduction to Computational Intelligence, covering the fundamental concepts, algorithms and practical implementations behind efforts to develop systems that exhibit intelligent behavior&nbsp;in complex environments.&nbsp;Rather than aim for completeness, the goal is to give a methodical introduction, supporting fundamental concepts and their implementations with explanation of the theoretical background of proposed problem solutions.<br></div><div><br></div><div><b>Topics and features:</b><br></div><div><ul><li>Offers <i><b>new material</b></i> on deep learning, scalarization, large-scale optimization algorithms, and collective decision-making algorithms<br></li><li>Contains numerous classroom-tested examples and definitions&nbsp;<br></li><li>Discusses in detail the classical areas of artificial neural networks, fuzzy systems, evolutionary algorithms, and Bayes and Markov networks</li><li>Reviews the latest developments, including such topics as ant colony optimization and probabilistic graphical models<br></li><li>Provides supplementary material, including module descriptions, lecture slides, exercises with solutions, and software tools<br></li></ul></div><div>This seminal textbook is primarily meant as a companion book for lectures on the covered topics in the area of computational intelligence. However, it is also eminently suitable as a guidebook for self-study by students and practitioners from industry and commerce.</div><div><br></div><div><b>Dr. Rudolf Kruse</b>&nbsp;is the former leader of the Computational Intelligence Research Group and now Emeritus Professor of the Department of Computer Science at the University of Magdeburg, Germany.&nbsp;<b>Dr. Sanaz Mostaghim</b>&nbsp;is a full Professor of Computer Science and&nbsp;<b>Dr.</b>&nbsp;<b>Christian Braune</b>&nbsp;is a Senior Lecturer at the same institution.&nbsp;<b>Dr. Christian Borgelt</b>&nbsp;is a Professor of Data Science at the Paris Lodron University of Salzburg, Austria.&nbsp;<b>Dr. Matthias Steinbrecher</b>&nbsp;is a Development Architect at SAP SE, Potsdam, Germany.</div>

Dettagli dell'edizione

• Editore: Springer-Nature New York Inc
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 3030422267
• ISBN 13: 9783030422264
• Rilegatura: Copertina rigida
• Numero edizione: 3
• Numero di pagine: 639
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Germania