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 (...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Lughofer, Edwin (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Colección:Studies in Fuzziness and Soft Computing, 266
Temas:
Engineering mathematics.
Engineering-Data processing.
Artificial intelligence.
Mathematical and Computational Engineering Applications.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

Ejemplares similares