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Herausgeber: 
  • Brian J. Taylor
  • Methods and Procedures for the Verification and Validation of Artificial Neural Networks 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Oktober 2010  
    Genre:  EDV / Informatik 
     
    Artificial Intelligence / Automated Pattern Recognition / C / Computer Communication Networks / Computer communication systems / Computer Engineering and Networks / computer hardware / Computer Imaging, Vision, Pattern Recognition and Graphics / Computer networking & communications / Computer organization / computer science / Computer Systems Organization and Communication Networks / Computer Vision / Human–computer interaction / Image processing / Network hardware / Optical data processing / pattern recognition / User interface design & usability / User interfaces (Computer systems) / User Interfaces and Human Computer Interaction
    ISBN:  9781441939357 
    EAN-Code: 
    9781441939357 
    Verlag:  Springer Nature EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  450 gr 
    Seiten:  278 
    Zus. Info:  Previously published in hardcover 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Artificial neural networks are a form of artificial intelligence that have the capability of learning, growing, and adapting with dynamic environments.  With the ability to learn and adapt, artificial neural networks introduce new potential solutions and approaches to some of the more challenging problems that the United States faces as it pursues the vision of space exploration and develops other system applications that must change and adapt after deployment.

    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.  Currently no standards exist to verify and validate neural network-based systems.   NASA Independent Verification and Validation Facility has contracted the Institute for Scientific Research, Inc. to perform research on this topic and develop a comprehensive guide to performing V&V on adaptive systems, with emphasis on neural networks used in safety-critical or mission-critical applications.

    Methods and Procedures for the Verification and Validation of Artificial Neural Networks is the culmination of the first steps in that research. This volume introduces some of the more promising methods and techniques used for the verification and validation (V&V) of neural networks and adaptive systems.  A comprehensive guide to performing V&V on neural network systems, aligned with the IEEE Standard for Software Verification and Validation, will follow this book. The NASA IV&V and the Institute for Scientific Research, Inc. are working to be at the forefront of software safety and assurance for neural network and adaptive systems.

    Methods and Procedures for the Verification and Validation of Artificial Neural Networks is structured for research scientists and V&V practitionersin industry to assure neural network software systems for future NASA missions and other applications. This book is also suitable for graduate-level students in computer science and computer engineering.

      



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