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  • Soft Computing: DE
      • GET 5% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 60.90
      • 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.

        25 258 Ft (24 055 Ft + 5% VAT)
      • Discount 5% (cc. 1 263 Ft off)
      • Discounted price 23 995 Ft (22 852 Ft + 5% VAT)

    25 258 Ft

    db

    Availability

    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 LAP Lambert Academic Publishing
    • Date of Publication 1 January 2025
    • Number of Volumes Großformatiges Paperback. Klappenbroschur

    • ISBN 9786207654413
    • Binding Paperback
    • No. of pages92 pages
    • Size 220x150 mm
    • Language English
    • 625

    Categories

    Long description:

    "Soft Computing" covers fuzzy logic, neural networks, and evolutionary algorithms in a complete introduction to the area. The book begins by charting computing from traditional AI to computational intelligence, preparing readers for soft computing. It teaches machine learning fundamentals. The book covers fuzzy logic, including fuzzy sets, relations, and inference systems. Readers learn about fuzzy logic in expert systems and decision-making through thorough discussions on membership functions and fuzzy reasoning. In the second section, the book covers neural network evolution, construction, and training techniques. Readers learn about neural network models and machine learning applications, from feedforward networks to adaptive resonance structures. Genetic algorithms, their biological origin, optimization methods, and comparison to classical algorithms are covered in the book's conclusion. Reading examples and case studies helps readers understand genetic algorithms and their applicability in difficult optimization issues. "Soft Computing" is a useful reference for students, academics, and practitioners investigating the wide field of soft computing.

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