Evolving Intelligent Systems: Methodology and Applications (Hardcover)

Plamen Angelov, Dimitar P. Filev, Nik Kasabov

  • 出版商: Wiley-IEEE Press
  • 出版日期: 2010-03-22
  • 定價: $4,880
  • 售價: 6.0$2,928
  • 語言: 英文
  • 頁數: 464
  • 裝訂: Hardcover
  • ISBN: 0470287195
  • ISBN-13: 9780470287194

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商品描述

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.