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Evolving Intelligent Systems: Methodology and Applications (IEEE Press Series on Computational Intelligence)
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Evolving Intelligent Systems : Methodology and Applications
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Evolving Intelligent Systems : Methodology and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Evolving Intelligent Systems: Methodology and Applications (IEEE Press Series on Computational Intelligence)
Language: English
Published by Wiley-Blackwell 2010-04-16, 2010
ISBN 10: 0470287195 ISBN 13: 9780470287194
Hardcover. Condition: New.
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Evolving Intelligent Systems: Methodology and Applications
Language: English
Published by John Wiley & Sons Inc, 2010
ISBN 10: 0470287195 ISBN 13: 9780470287194
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Hardcover. Condition: Brand New. 1st edition. 444 pages. 9.41x6.46x1.18 inches. In Stock.
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Buch. Condition: Neu. Neuware - From theory to techniques, the first all-in-one resource for EISThere 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 resourcesEvolving 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.
