Flexible Neuro-Fuzzy Systems Structures, Learning and Performance Evaluation /

• Κύριος συγγραφέας: Rutkowski, Leszek (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Boston, MA : Springer US, 2004.
• Σειρά: The International Series in Engineering and Computer Science, 771
• Θέματα: Computer science.; Artificial intelligence.; System theory.; Mathematical logic.; Computer Science.; Artificial Intelligence (incl. Robotics).; Mathematical Logic and Foundations.; Systems Theory, Control.

Flexible Neuro-Fuzzy Systems is the first professional literature about the new class of powerful, flexible fuzzy systems. The author incorporates various flexibility parameters to the construction of neuro-fuzzy systems. This approach dramatically improves their performance, allowing the systems to...

Πίνακας περιεχομένων:

• Elements of the Theory of Fuzzy Sets
• Fuzzy Inference Systems
• Flexibility in Fuzzy Systems
• Flexible Or-Type Neuro-Fuzzy Systems
• Flexible Compromise and-Type Neuro-Fuzzy Systems
• Flexible Mamdani-Type Neuro-Fuzzy Systems
• Flexible Logical-Type Neuro-Fuzzy Systems
• Performance Comparison of Neuro-Fuzzy Systems.