Computational Intelligence : A Methodological Introduction /

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 a...

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Bibliographic Details
Main Authors:	Kruse, Rudolf (Author), Mostaghim, Sanaz (Author), Borgelt, Christian (Author), Braune, Christian (Author), Steinbrecher, Matthias (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2022.
Edition:	3rd ed. 2022.
Series:	Texts in Computer Science,
Subjects:	Artificial intelligence. Engineering mathematics. Engineering-Data processing. Computational intelligence. Computer science. Artificial Intelligence. Mathematical and Computational Engineering Applications. Computational Intelligence. Theory and Algorithms for Application Domains. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

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.