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  • Women in Soft Computing
      • GET 20% OFF

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      • Publisher's listprice EUR 74.89
      • 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.

        31 060 Ft (29 581 Ft + 5% VAT)
      • Discount 20% (cc. 6 212 Ft off)
      • Discounted price 24 848 Ft (23 665 Ft + 5% VAT)

    31 060 Ft

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    printed on demand

    Why don't you give exact delivery time?

    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:

    • Publisher Springer Nature Switzerland
    • Date of Publication 20 December 2024
    • Number of Volumes 1 pieces, Book

    • ISBN 9783031447082
    • Binding Paperback
    • See also 9783031447051
    • No. of pages156 pages
    • Size 235x155 mm
    • Language English
    • Illustrations IX, 156 p. 27 illus., 22 illus. in color. Illustrations, black & white
    • 622

    Categories

    Long description:

    This book gives a detailed information of various soft computing techniques across various fields for solving relevant, real-life problems. The authors, all female leaders in the field, show how soft computing uses approximate calculations to provide imprecise yet usable solutions to complex computational problems. This enables solutions for problems that may be either unsolvable or too time-consuming to solve with current hardware. The authors show how these techniques, when applied, have proven to be efficient and robust in many difficult situations. As an important part of the Women in Science and Engineering book series, the work highlights the contribution of women leaders in soft computing, inspiring women and men, girls and boys to enter and apply themselves to secure the future in the field.

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    Table of Contents:

    Introduction.- Object Identification using Neural Networks.- Feature Extraction Techniques.- Fuzzy Scoring Theory Applied to Team-Peer Assessment.- Cancer Detection and diagnosis using soft computing techniques.- Biogeography Based Algorithm for Solving Wind farm energy problem.- Mechanical engineering optimization problems solving using soft computing approach.- Classification of Plants Leave Using Image Processing.- Differential Evolution Algorithm for solving nonlinear optimization problem.- Discrete Grey Wolf Optimization Algorithm.- Constrained Teaching Learning Algorithm for real life problems.- Conclusion.

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