Description

Book Synopsis
Neural networks are members of a class of software that have the potential to enable intelligent computational systems capable of simulating characteristics of biological thinking and learning. This volume introduces some of the methods and techniques used for the verification and validation of neural networks and adaptive systems.

Table of Contents
Background of the Verification and Validation of Neural Networks.- Augmentation of Current Verification and Validation Practices.- Risk and Hazard Analysis for Neural Network Systems.- Validation of Neural Networks Via Taxonomic Evaluation.- Stability Properties of Neural Networks.- Neural Network Verification.- Neural Network Visualization Techniques.- Rule Extraction as a Formal Method.- Automated Test Generation for Testing Neural Network Systems.- Run-Time Assessment of Neural Network Control Systems.

Methods and Procedures for the Verification and

    Product form

    £85.88

    Includes FREE delivery

    RRP £114.50 – you save £28.62 (24%)

    Order before 4pm tomorrow for delivery by Wed 12 Aug 2026.

    A Hardback by Brian J. Taylor

    Out of stock

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Methods and Procedures for the Verification and by Brian J. Taylor

      Publisher: Springer-Verlag New York Inc.
      Publication Date: Publication Date: 17/11/2005
      ISBN13: 9780387282886, 978-0387282886
      ISBN10: 0387282882

      Description

      Book Synopsis
      Neural networks are members of a class of software that have the potential to enable intelligent computational systems capable of simulating characteristics of biological thinking and learning. This volume introduces some of the methods and techniques used for the verification and validation of neural networks and adaptive systems.

      Table of Contents
      Background of the Verification and Validation of Neural Networks.- Augmentation of Current Verification and Validation Practices.- Risk and Hazard Analysis for Neural Network Systems.- Validation of Neural Networks Via Taxonomic Evaluation.- Stability Properties of Neural Networks.- Neural Network Verification.- Neural Network Visualization Techniques.- Rule Extraction as a Formal Method.- Automated Test Generation for Testing Neural Network Systems.- Run-Time Assessment of Neural Network Control Systems.

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account