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 (...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Lughofer, Edwin (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Edition:1st ed. 2011.
Series:Studies in Fuzziness and Soft Computing, 266
Subjects:
Engineering mathematics.
Engineering-Data processing.
Artificial intelligence.
Mathematical and Computational Engineering Applications.
Artificial Intelligence.
Online Access:Texto Completo
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.

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