Rudolf Kruse: Computational Intelligence

Cover: 9783030422295 | Computational Intelligence | A Methodological Introduction | Buch

Rückseite: 9783030422295 | Computational Intelligence | A Methodological Introduction | Buch

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Sprache: Englisch

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Beschreibung

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.

Über den 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.

Zusammenfassung

Written by a team of highly-regarded experts, with extensive experience in both academia and industry

Provides supplementary material on module descriptions, lecture slides, exercises with solutions, and software tools

Addresses deep learning, scalarization, large-scale optimization algorithms, and collective decision-making algorithms

Inhaltsverzeichnis

Introduction.- Part I: Neural Networks.- Introduction.- Threshold Logic Units.- General Neural Networks.- Multi-Layer Perceptrons.- Radial Basis Function Networks.- Self-Organizing Maps.- Hopfield Networks.- Recurrent Networks.- Mathematical Remarks for Neural Networks.- Part II: Evolutionary Algorithms.- Introduction to Evolutionary Algorithms.- Elements of Evolutionary Algorithms.- Fundamental Evolutionary Algorithms.- Computational Swarm Intelligence.- Part III: Fuzzy Systems.- Fuzzy Sets and Fuzzy Logic.- The Extension Principle.- Fuzzy Relations.- Similarity Relations.- Fuzzy Control.- Fuzzy Data Analysis.- Part IV: Bayes and Markov Networks.- Introduction to Bayes Networks.- Elements of Probability and Graph Theory.- Decompositions.- Evidence Propagation.- Learning Graphical Models.- Belief Revision.- Decision Graphs.

Details

Erscheinungsjahr:	2023
Genre:	Informatik , Mathematik , Medizin , Naturwissenschaften , Technik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Reihe:	Texts in Computer Science
Inhalt:	xiv 639 S. 282 s/w Illustr. 42 farbige Illustr. 639 p. 324 illus. 42 illus. in color.
ISBN-13:	9783030422295
ISBN-10:	3030422291
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Kruse, Rudolf Mostaghim, Sanaz Borgelt, Christian Braune, Christian Steinbrecher, Matthias
Auflage:	Third Edition 2022
Hersteller:	Springer Springer International Publishing AG Texts in Computer Science
Verantwortliche Person für die EU:	Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße:	235 x 155 x 36 mm
Von/Mit:	Rudolf Kruse (u. a.)
Erscheinungsdatum:	12.04.2023
Gewicht:	0,978 kg