Computational Intelligence A Methodological Introduction /

• Κύριοι συγγραφείς: Kruse, Rudolf (Συγγραφέας), Borgelt, Christian (Συγγραφέας), Braune, Christian (Συγγραφέας), Mostaghim, Sanaz (Συγγραφέας), Steinbrecher, Matthias (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: London : Springer London : Imprint: Springer, 2016.
• Έκδοση: 2nd ed. 2016.
• Σειρά: Texts in Computer Science,
• Θέματα: Computer science.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Appl.Mathematics/Computational Methods of Engineering.

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...

Πίνακας περιεχομένων:

• 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.