Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing An Evolutionary Approach for Neural Networks and Fuzzy Systems /

• Κύριοι συγγραφείς: Melin, Patricia (Συγγραφέας), Castillo, Oscar (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
• Σειρά: Studies in Fuzziness and Soft Computing, 172
• Θέματα: Computer science.; Computers.; Artificial intelligence.; Pattern recognition.; Applied mathematics.; Engineering mathematics.; Control engineering.; Robotics.; Mechatronics.; Computer Science.; Theory of Computation.; Appl.Mathematics/Computational Methods of Engineering.; Pattern Recognition.; Artificial Intelligence (incl. Robotics).; Control, Robotics, Mechatronics.; Signal, Image and Speech Processing.

This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms. Hybrid intelligent systems that combine several soft computing techniques are needed due to the complexity of pattern recognition p...

Πίνακας περιεχομένων:

• Introduction to Pattern Recognition with Intelligent Systems
• Type-1 Fuzzy Logic
• Type-2 Fuzzy Logic and Intuitionistic Fuzzy Logic
• Supervised Neural Networks
• Unsupervised Neural Networks
• Modular Neural Networks
• Evolutionary Computing for Architecture Optimization
• Clustering with Intelligent Techniques
• Face Recognition with Modular Neural Networks and Fuzzy Measures
• Fingerprint Recognition with Modular Neural Networks and Fuzzy Measures
• Voice Recognition with Neural Networks and Genetic Algorithms
• Human Recognition Using Face, Fingerprint and Voice.