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  • Soft Computing for Problem Solving 2019: Proceedings of SocProS 2019, Volume 2

    Soft Computing for Problem Solving 2019 by Nagar, Atulya K.; Deep, Kusum; Bansal, Jagdish Chand; Das, Kedar Nath;

    Proceedings of SocProS 2019, Volume 2

    Series: Advances in Intelligent Systems and Computing; 1139;

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      • Publisher's listprice EUR 160.49
      • 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.

        66 563 Ft (63 393 Ft + 5% VAT)
      • Discount 20% (cc. 13 313 Ft off)
      • Discounted price 53 250 Ft (50 714 Ft + 5% VAT)

    66 563 Ft

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    printed on demand

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    Product details:

    • Edition number 1st ed. 2020
    • Publisher Springer Nature Singapore
    • Date of Publication 5 April 2020
    • Number of Volumes 1 pieces, Book

    • ISBN 9789811532863
    • Binding Paperback
    • No. of pages224 pages
    • Size 235x155 mm
    • Weight 454 g
    • Language English
    • Illustrations IX, 224 p. 131 illus., 77 illus. in color. Illustrations, black & white
    • 42

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    Long description:

    This book features the outcomes of the 9th International Conference on Soft Computing for Problem Solving, SocProS 2019, which brought together researchers, engineers and practitioners to discuss thought-provoking developments and challenges in order to identify potential future directions. The book presents the latest advances and innovations in the interdisciplinary areas of soft computing, including original research papers in areas such as algorithms (artificial immune systems, artificial neural networks, genetic algorithms, genetic programming, and particle swarm optimization) and applications (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). It is a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems that cannot easily be solved using traditional methods.

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    Table of Contents:

    Exponential Adaptive Strategy in Spider Monkey Optimization Algorithm.- Development of Fuzzy Knowledge Based System for Water Quality Assessment in River Ganga.- A Hybrid Framework for Fire Outbreak Detection Based on Interval Type-2 Fuzzy Logic and Flower Pollination Algorithm.- Using convolutional neural networks to predict colon cancer patients survival.- An Array P system Based on a Variant of Pure 2D Context-free Grammars.- Predictions of weekly slope movements using moving-average and neural-network methods: A case-study in Chamoli, India.

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