ISBN: 9780470287194 - evolving intelligent systems: methodology and applications (ieee press series on computational intelligence, band 12) (8 Ergebnisse)

Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: As New. Unread book in perfect condition.

Zustand: New. In English.

Zustand: New. PLAMEN ANGELOV, PhD, is with the Department of Communication Systems, Lancaster University. He is a member of the Fuzzy Systems Technical Committee, the founding Chair of the Adaptive Fuzzy Systems Task Force to the Computational Intelligence Society, and a.

Hardcover. Zustand: Brand New. 1st edition. 444 pages. 9.41x6.46x1.18 inches. In Stock.

Zustand: New. This is the first self-contained book that covers the topic of Evolving Intelligent Systems in its entirety, from a systematic methodology to case studies and real industrial applications. Editor(s): Angelov, Plamen; Filev, Dimitar P.; Kasabov, Nikola K. Series: IEEE Press Series on Computational Intelligence. Num Pages: 444 pages, Illustrations. BIC Classification: UYQ. Category: (P) Professional & Vocational. Dimension: 241 x 158 x 29. Weight in Grams: 780. . 2010. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.…

Buch. Zustand: 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.…