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Computational Intelligence A Methodological Introduction /

Computational intelligence (CI) encompasses a range of nature-inspired methods that exhibit intelligent behavior in complex environments. This clearly-structured, classroom-tested textbook/reference presents a methodical introduction to the field of CI. Providing an authoritative insight into all th...

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Bibliographic Details
Main Authors: Kruse, Rudolf. (Author), Borgelt, Christian. (Author), Klawonn, Frank. (Author), Moewes, Christian. (Author), Steinbrecher, Matthias. (Author), Held, Pascal. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic
Language:English
Published: London : Springer London : Imprint: Springer, 2013.
Series:Texts in Computer Science,
Subjects:
Computer science.
Artificial intelligence.
Engineering mathematics.
Computer Science.
Artificial Intelligence (incl. Robotics).
Appl.Mathematics/Computational Methods of Engineering.
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4471-5013-8
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
  • 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.

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