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

• Main Author: Rutkowski, Leszek. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: Boston, MA : Springer US, 2004.
• Series: The International Series in Engineering and Computer Science, 771
• Subjects: Computer science.; Artificial intelligence.; System theory.; Mathematical logic.; Computer Science.; Artificial Intelligence (incl. Robotics).; Mathematical Logic and Foundations.; Systems Theory, Control.
• Online Access: View fulltext via EzAccess

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...

Table of Contents:

• 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.