Evolving Fuzzy Systems – Methodologies, Advanced Concepts and Applications

• Κύριος συγγραφέας: Lughofer, Edwin (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.
• Σειρά: Studies in Fuzziness and Soft Computing, 266
• Θέματα: Engineering.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).

In today’s real-world applications, there is an increasing demand of integrating new information and knowledge on-demand into model building processes to account for changing system dynamics, new operating conditions, varying human behaviors or environmental influences. Evolving fuzzy systems (EFS)...

Πίνακας περιεχομένων:

• I. Introduction
• Part I - Basic Methodologies
• II. Basic Algorithms for EFS
• III. EFS Approaches for Regression and Classification
• Part II - Advanced Concepts
• IV. Towards Robust and Process-Save EFS
• V. On Improving Performance and Increasing Useability of EFS
• VI. Interpretability Issues in EFS
• Part III – Applications
• VII. Online System Identification and Prediction
• VIII. On-Line Fault and Anomaly Detection
• IX. Visual Inspection Systems
• X. Further (Potential) Application Fields
• Epilog - Achievements, Open Problems and New Challenges in EFS.