Computational Intelligence
A Methodological Introduction
(Sprache: Englisch)
This classroom-tested book discusses artificial neural networks, evolutionary algorithms, fuzzy systems and Bayesian networks, covering ant colony optimization and probabilistic graphical models. Includes examples, illustrations and definitions throughout.
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Produktinformationen zu „Computational Intelligence “
This classroom-tested book discusses artificial neural networks, evolutionary algorithms, fuzzy systems and Bayesian networks, covering ant colony optimization and probabilistic graphical models. Includes examples, illustrations and definitions throughout.
Klappentext zu „Computational Intelligence “
This clearly-structured, classroom-tested textbook/reference presents a methodical introduction to the field of CI. Providing an authoritative insight into all that is necessary for the successful application of CI methods, the book describes fundamental concepts and their practical implementations, and explains the theoretical background underpinning proposed solutions to common problems. Only a basic knowledge of mathematics is required. Features: provides electronic supplementary material at an associated website, including module descriptions, lecture slides, exercises with solutions, and software tools; contains numerous examples and definitions throughout the text; presents self-contained discussions on artificial neural networks, evolutionary algorithms, fuzzy systems and Bayesian networks; covers the latest approaches, including ant colony optimization and probabilistic graphical models; written by a team of highly-regarded experts in CI, with extensive experience in bothacademia and industry.
Inhaltsverzeichnis zu „Computational Intelligence “
IntroductionPart 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
Part II: Evolutionary Algorithms
Introduction to Evolutionary Algorithms
Elements of Evolutionary Algorithms
Fundamental Evolutionary Algorithms
Special Applications and Techniques
Part III: Fuzzy Systems
Fuzzy Sets and Fuzzy Logic
The Extension Principle
Fuzzy Relations
Similarity Relations
Fuzzy Control
Fuzzy Clustering
Part IV: Bayes Networks
Introduction to Bayes Networks
Elements of Probability and Graph Theory
Decompositions
Evidence Propagation
Learning Graphical Models
Autoren-Porträt von Rudolf Kruse, Christian Borgelt, Frank Klawonn, Christian Moewes, Matthias Steinbrecher, Pascal Held
Prof. Dr. Rudolf Kruse ist Leiter des Lehrstuhls für Neuro-Fuzzy-Systeme an der Universität Magdeburg.
Bibliographische Angaben
- Autoren: Rudolf Kruse , Christian Borgelt , Frank Klawonn , Christian Moewes , Matthias Steinbrecher , Pascal Held
- 2013, 492 Seiten, Maße: 23,5 cm, Gebunden, Englisch
- Verlag: Springer
- ISBN-10: 1447150120
- ISBN-13: 9781447150121
Sprache:
Englisch
Rezension zu „Computational Intelligence “
From the reviews:"The book is a comprehensive treatise on computational intelligence with a focus on the underlying methodology and algorithms. ... The reader can enjoy a comprehensive and systematically arranged exposure of the material. ... The references following each chapter can serve as a list of introductory readings on the individual areas of computational intelligence. ... the reader gains a good sense of computational intelligence as an important endeavor supporting analysis and synthesis of intelligent systems. ... a useful compendium of knowledge for a broad audience." -- Witold Pedrycz, Mathematical Reviews, November, 2013
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