rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Guidance for the verification and validation of neural networks
  name:
    name part: Pullum, Laura L.
    role:
      role term: creator
  name:
    name part: Taylor, Brian J.
    role:
      role term: aut
  name:
    name part: Darrah, Marjorie A.
    role:
      role term: aut
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: cau
    place:
      place term: Los Alamitos, Calif
    place:
      place term: Hoboken, N.J
    publisher: IEEE Computer Society
    publisher: J. Wiley
    date issued: ©2007
    date issued: 2007
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (ix, 133 pages) : illustrations
  abstract: Guidance for the Verification and Validation of Neural Networks is a supplement to the IEEE Standard for Software Verification and Validation, IEEE Std 1012-1998. Born out of a need by the National Aeronautics and Space Administration's safety- and mission-critical research, this book compiles over five years of applied research and development efforts. It is intended to assist the performance of verification and validation (V&V) activities on adaptive software systems, with emphasis given to neural network systems. The book discusses some of the difficulties with trying to assure adaptive systems in general, presents techniques and advice for the V&V practitioner confronted with such a task, and based on a neural network case study, identifies specific tasking and recommendations for the V&V of neural network systems. "As the demand for developing and assuring adaptive systems grows, this guidebook will provide practitioners with the insight and practical steps for verifying and validating neural networks. The work of the authors is a great step forward, offering a level of practical experience and advice for the software developers, assurance personnel, and those performing verification and validation of adaptive systems. This guide makes possible the daunting task of assuring this new technology. NASA is proud to sponsor such a realistic approach to what many might think a very futuristic subject. But adaptive systems with neural networks are here today and as the NASA Manager for Software Assurance and Safety, I believe this work by the authors will be a great resource for the systems we are building today and into tomorrow." Martha S. Wetherholt, NASA Manager of Software Assurance and Software Safety NASA Headquarters, Office of Safety & Mission Assurance.
  table of contents: Areas of consideration for adaptive systems -- Verification and validation of neural networks-guidance -- Recent changes to IEEE std 1012.
  note: Laura L. Pullum, Brian J. Taylor, Majorie A. Darrah.
  note: Title from title screen.
  note: "December 2006."
  note: Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010. MiAaHDL
  note: Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL
  note: digitized 2010 HathiTrust Digital Library committed to preserve pda MiAaHDL
  note: Includes bibliographical references and index.
  subject:
    topic: Neural networks (Computer science)
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer software
    topic: Verification
  subject:
    topic: Computer software
    topic: Validation
  subject:
    topic: Neural Networks, Computer
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Software Validation
  classification: QA76.87 .P85 2007eb
  classification: 006.3/2
  related item:
    title info:
      title: Guidance for the verification and validation of neural networks
    name:
      name part: Pullum, Laura L.
    origin info:
      publisher: Hoboken, NJ : IEEE Computer Society, ©2007
  identifier: 9781119134671
  identifier: 1119134676
  identifier: 9780470084571
  identifier: 047008457X
  identifier: 7304003 IEEE
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: NhCcYBP
    record creation date: 080308
    record change date: 20260214203001.6
    record identifier: in00004683595
    language of cataloging:
      language term: eng