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Computational Intelligence

A Methodological Introduction
Book on DemandKartoniert, Paperback
639 Seiten
Englisch
Springererschienen am30.03.20233. Aufl.
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.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR64,19
BuchKartoniert, Paperback
EUR64,19
BuchGebunden
EUR90,94
E-BookPDF1 - PDF WatermarkE-Book
EUR64,19
E-BookPDF1 - PDF WatermarkE-Book
EUR64,19
E-BookPDF1 - PDF WatermarkE-Book
EUR64,19
Book on DemandKartoniert, Paperback
EUR64,19

Produkt

KlappentextThis 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.
Details
ISBN/GTIN978-3-030-42229-5
ProduktartBook on Demand
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2023
Erscheinungsdatum30.03.2023
Auflage3. Aufl.
ReiheTexts in Computer Science
Seiten639 Seiten
SpracheEnglisch
IllustrationenXIV, 639 p. 324 illus., 42 illus. in color.
Artikel-Nr.52033685

Inhalt/Kritik

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.mehr
Kritik
"The book presents a thorough exposition of the main concepts of computational intelligence. ... It is an interesting book that may serve very well a wide audience, providing material for researchers, students as well as people working in industry." (Catalin Stoean, zbMATH 1500.68001, 2023)
"The authors have written Computational intelligence in such a way that it can serve as both a textbook and a helpful reference book for students and practitioners of computing science and related fields. The presentation is careful and friendly yet technically sound." (Soubhik Chakraborty, Computing Reviews, March 7, 2023)mehr

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.