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  • Intelligent Information Processing with Matlab

    Intelligent Information Processing with Matlab by Zhang, Xiu; Zhang, Xin; Wang, Wei;

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      • Publisher's listprice EUR 149.79
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        62 125 Ft (59 167 Ft + 5% VAT)
      • Discount 20% (cc. 12 425 Ft off)
      • Discounted price 49 700 Ft (47 334 Ft + 5% VAT)

    62 125 Ft

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    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 1st ed. 2023
    • Publisher Springer Nature Singapore
    • Date of Publication 16 October 2023
    • Number of Volumes 1 pieces, Book

    • ISBN 9789819964482
    • Binding Hardback
    • No. of pages253 pages
    • Size 235x155 mm
    • Weight 613 g
    • Language English
    • Illustrations X, 253 p. 98 illus., 62 illus. in color. Illustrations, black & white
    • 496

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    Long description:

    This book is a comprehensive collection of technologies and methods on intelligent information processing, which includes artificial neural network, fuzzy logic, and evolutionary computing. It also introduces the latest research directions and progress in intelligent information processing, such as transfer learning through convolutional neural network, time series prediction, clustering based on fuzzy neural network, test and evaluation of the traveling salesman problem, test and evaluation of continuous optimization problem, and more.

    This book promotes the development and application of intelligent information processing technology in the field of computational intelligence, effectively improving the intersection and integration of intelligent information processing methods. Researchers in computational intelligence and artificial intelligence technology, as well as teachers, students, and others interested in the subject, will benefit from this book.

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    Table of Contents:

    Artificial Neural Network.- Convolutional Neural Network.- Fuzzy Logic.- Fuzzy Neural Network.- Evolutionary Computing.- Test and Evaluation of Evolutionary Computing Methods.

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