Evolving Fuzzy Systems – Methodologies, Advanced Concepts and Applications
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)...
| Main Author: | |
|---|---|
| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2011.
|
| Series: | Studies in Fuzziness and Soft Computing,
266 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- 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.
