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: Intelligent Quality Systems
  name:
    name part: Pham, D. T.
    role:
      role term: creator
  name:
    name part: Oztemel, Ercan.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    date issued: 1996
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (xii, 201 pages 92 illustrations)
  abstract: This study discusses Quality Systems employing techniques from the field of Artificial Intelligence (AI). It focuses upon expert systems and neural networks, two of the most popular AI techniques. Expert Systems encapsulate human expertise for solving complex problems. Neural Networks are able to learn problem solving from examples. The authors illustrate applications of these techniques to the design and operation of effective quality systems. Readers with a background in quality engineering and manufacturing will be able to learn about the uses of expert systems and neural networks to achieve intelligent Statistical Process Control, monitor processes and detect incipient faults in them, design experiments and predict performance, inspect products and monitor and diagnose plants and processes. Readers with an AI background will find a wealth of ideas for practical problems on which to deploy and test their techniques.
  note: by Duc Truong Pham, Ercan Oztemel.
  note: Electronic resource.
  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 indexes.
  subject:
    topic: Engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Industrial engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Engineering
  subject:
    topic: Industrial engineering
  classification: T55.4-60.8
  classification: 670
  related item:
    title info:
      title: Advanced manufacturing
  identifier: 9781447114987 (electronic bk.)
  identifier: 1447114981 (electronic bk.)
  identifier: 9781447115007
  identifier: 1447115007
  identifier: 3540760458 (Berlin : hardback : acid-free paper)
  identifier: 9783540760450 (Berlin : hardback : acid-free paper)
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: AU@
    record creation date: 121227
    record change date: 20260423141744.9
    record identifier: in00003561834
    language of cataloging:
      language term: eng