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: Pattern recognition using neural networks
  title info:
    sub title: theory and algorithms for engineers and scientists
  title info: title
  name:
    name part: Carl G. Looney
    role:
      role term: creator
  name:
    name part: Carl G. Looney
  type of resource: text
  origin info:
    place:
      place term: xx
    place:
      place term: New York
    publisher: Oxford University Press
    date issued: 1997
    date issued: 9999
    issuance: monographic
  language:
    language term: und
  language:
    language term: eng
  physical description:
    form: print
    extent: xix, 458 p.
    extent: ill.
    extent: 25 cm
  abstract: Pattern Recognition Using Neural Networks covers traditional linear pattern recognition and its nonlinear extension via neural networks. The approach is algorithmic for easy implementation on a computer, which makes this a refreshing what-why-and-how text that contrasts with the theoretical approach and pie-in-the-sky hyperbole of many books on neural networks. It covers the standard decision-theoretic pattern recognition of clustering via minimum distance, graphical and structural methods, and Bayesian discrimination
  note: Carl G. Looney
  subject:
    topic: Pattern recognition systems; Neural networks (Computer science)
  classification: 6.4
  classification: C278
  identifier: 195079205
  record info:
    record creation date: 210423
    record identifier: TVU_12822