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)...
Enregistré dans:
| Auteur principal: | |
|---|---|
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Collection: | Studies in Fuzziness and Soft Computing
266 |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Evolving fuzzy system, methodologies, advanced concepts and applications, Edwin Lughofer, Berlin, Springer-Verlag, 2011, 1 vol. (XXIV-454 p., Studies in Fuzziness and Soft Computing, 978-3-642-18086-6 |
Table des matières:
- 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