Login

Angelov, Plamen

Evolving Intelligent Systems: Methodology and Applications

Angelov, Plamen - Evolving Intelligent Systems: Methodology and Applications, ebook

116,80€

Ebook, PDF with Adobe DRM
ISBN: 9780470569955
DRM Restrictions

Printing125 pages with an additional page accrued every 6 hours, capped at 125 pages
Copy to clipboard21 excerpts

From theory to techniques, the first all-in-one resource for EIS

There is a clear demand in advanced process industries, defense, and Internet and communication (VoIP) applications for intelligent yet adaptive/evolving systems. Evolving Intelligent Systems is the first self- contained volume that covers this newly established concept in its entirety, from a systematic methodology to case studies to industrial applications. Featuring chapters written by leading world experts, it addresses the progress, trends, and major achievements in this emerging research field, with a strong emphasis on the balance between novel theoretical results and solutions and practical real-life applications.

  • Explains the following fundamental approaches for developing evolving intelligent systems (EIS):

    • the Hierarchical Prioritized Structure
    • the Participatory Learning Paradigm

    • the Evolving Takagi-Sugeno fuzzy systems (eTS+)

    • the evolving clustering algorithm that stems from the well-known Gustafson-Kessel offline clustering algorithm


  • Emphasizes the importance and increased interest in online processing of data streams

  • Outlines the general strategy of using the fuzzy dynamic clustering as a foundation for evolvable information granulation

  • Presents a methodology for developing robust and interpretable evolving fuzzy rule-based systems

  • Introduces an integrated approach to incremental (real-time) feature extraction and classification

  • Proposes a study on the stability of evolving neuro-fuzzy recurrent networks

  • Details methodologies for evolving clustering and classification

  • Reveals different applications of EIS to address real problems in areas of:

    • evolving inferential sensors in chemical and petrochemical industry

    • learning and recognition in robotics


  • Features downloadable software resources


Evolving Intelligent Systems is the one-stop reference guide for both theoretical and practical issues for computer scientists, engineers, researchers, applied mathematicians, machine learning and data mining experts, graduate students, and professionals.

Author(s)
 
 
Publisher
John Wiley and Sons, Inc.
Publication year
2010
Language
en
Edition
1
Series
IEEE Press Series on Computational Intelligence
Page amount
416 pages
Category
Information Technology, Telecommunications
Format
Ebook
eISBN (PDF)
9780470569955
Printed ISBN
9780470287194

Similar titles