Computational Intelligence A Methodological Introduction /

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This authoritative 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 second edition to the definitive...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Kruse, Rudolf (Autor), Borgelt, Christian (Autor), Braune, Christian (Autor), Mostaghim, Sanaz (Autor), Steinbrecher, Matthias (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2016.
Edición:2nd ed. 2016.
Colección:Texts in Computer Science,
Temas:
Artificial intelligence.
Engineering mathematics.
Engineering > Data processing.
Artificial Intelligence.
Mathematical and Computational Engineering Applications.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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