Computational Intelligence Principles, Techniques and Applications /

• Κύριος συγγραφέας: Konar, Amit (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
• Θέματα: Engineering.; Artificial intelligence.; Pattern recognition.; Statistical physics.; Dynamical systems.; Applied mathematics.; Engineering mathematics.; Vibration.; Dynamics.; Control engineering.; Robotics.; Mechatronics.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).; Statistical Physics, Dynamical Systems and Complexity.; Vibration, Dynamical Systems, Control.; Control, Robotics, Mechatronics.; Pattern Recognition.

The book Computational Intelligence: Principles, Techniques and Applications presents both theories and applications of Computational Intelligence in a clear, precise and highly comprehensive style. The textbook addresses the fundamental aspects of Fuzzy Sets and Logic, Neural Networks, Evolutionary...

Πίνακας περιεχομένων:

• An Introduction to Computational Intelligence
• Fuzzy Sets and Relations
• Fuzzy Logic and Approximate Reasoning
• Fuzzy Logic in Process Control
• Fuzzy Pattern Recognition
• Fuzzy Databases and Possibilistic Reasoning
• to Machine Learning Using Neural Nets
• Supervised Neural Learning Algorithms
• Unsupervised Neural Learning Algorithms
• Competitive Learning Using Neural Nets
• Neuro-dynamic Programming by Reinforcement Learning
• Evolutionary Computing Algorithms
• Belief Calculus and Probabilistic Reasoning
• Reasoning in Expert Systems Using Fuzzy Petri Nets
• Fuzzy Models for Face Matching and Mood Detection
• Behavioral Synergism of Soft Computing Tools
• Object Recognition from Gray Images Using Fuzzy ADALINE Neurons
• Distributed Machine Learning Using Fuzzy Cognitive Maps
• Machine Learning Using Fuzzy Petri Nets
• Computational Intelligence in Tele-Communication Networks
• Computational Intelligence in Mobile Robotics
• Emerging Areas of Computational Intelligence
• Research Problems for Graduate Thesis and Pre-Ph D Preparatory Courses.