Computational Intelligence: A Methodological Introduction (Texts in Computer Science) - Tapa dura

Libro 71 de 83: Texts in Computer Science

Kruse, Rudolf; Mostaghim, Sanaz; Borgelt, Christian

 
9783030422264: Computational Intelligence: A Methodological Introduction (Texts in Computer Science)
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ISBN 10: 3030422267 ISBN 13: 9783030422264
Editorial: Springer, 2022

Sinopsis

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 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. 

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.

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Acerca del autor

Dr. Rudolf Kruse 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. Dr. Sanaz Mostaghim is a full Professor of Computer Science and Dr. Christian Braune is a Senior Lecturer at the same institution. Dr. Christian Borgelt is a Professor of Data Science at the Paris Lodron University of Salzburg, Austria. Dr. Matthias Steinbrecher is a Development Architect at SAP SE, Potsdam, Germany.           

 

De la contraportada

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.

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 in complex environments. 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.

Topics and features:
  • Offers new material on deep learning, scalarization, large-scale optimization algorithms, and collective decision-making algorithms
  • Contains numerous classroom-tested examples and definitions 
  • Discusses in detail the classical areas of artificial neural networks, fuzzy systems, evolutionary algorithms, and Bayes and Markov networks
  • Reviews the latest developments, including such topics as ant colony optimization and probabilistic graphical models
  • Provides supplementary material, including module descriptions, lecture slides, exercises with solutions, and software tools
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.

Dr. Rudolf Kruse 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. Dr. Sanaz Mostaghim is a full Professor of Computer Science and Dr. Christian Braune is a Senior Lecturer at the same institution. Dr. Christian Borgelt is a Professor of Data Science at the Paris Lodron University of Salzburg, Austria. Dr. Matthias Steinbrecher is a Development Architect at SAP SE, Potsdam, Germany.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2022
Idioma
Inglés
ISBN 10 
3030422267
ISBN 13 
9783030422264
Encuadernación
Tapa dura
Número de edición
3
Número de páginas
656
Contacto del fabricante
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Alemania

Otras ediciones populares con el mismo título

9783030422295: Computational Intelligence: A Methodological Introduction (Texts in Computer Science)

Edición Destacada

ISBN 10:  3030422291 ISBN 13:  9783030422295
Editorial: Springer, 2023
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