Computational Intelligence A Methodological Introduction /

• Κύριοι συγγραφείς: Kruse, Rudolf (Συγγραφέας), Borgelt, Christian (Συγγραφέας), Klawonn, Frank (Συγγραφέας), Moewes, Christian (Συγγραφέας), Steinbrecher, Matthias (Συγγραφέας), Held, Pascal (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: London : Springer London : Imprint: Springer, 2013.
• 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.

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...

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
• 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.