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: Subspace learning of neural networks
  name:
    name part: Lv, Jian Cheng.
    role:
      role term: creator
  name:
    name part: Yi, Zhang.
  name:
    name part: Zhou, Jiliu.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: flu
    date issued: 2011
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: xxii, 233 pages : illustrations ; 25 cm.
  abstract: "Using real-life examples to illustrate the performance of learning algorithms and instructing readers how to apply them to practical applications, this work offers a comprehensive treatment of subspace learning algorithms for neural networks. The authors summarize a decade of high quality research offering a host of practical applications. They demonstrate ways to extend the use of algorithms to fields such as encryption communication, data mining, computer vision, and signal and image processing to name just a few. The brilliance of the work lies with how it coherently builds a theoretical understanding of the convergence behavior of subspace learning algorithms through a summary of chaotic behaviors"--
  note: Jian Cheng Lv, Zhang Yi, Jiliu Zhou.
  note: Includes bibliographical references and index.
  subject:
    topic: Neural networks (Computer science)
  subject:
    topic: Computer algorithms
  classification: QA76.87 .L83 2011
  classification: 006.3/2
  classification: 54.72
  related item:
    title info:
      title: Automation and control engineering
  identifier: 9781439815359 (hardback)
  identifier: 1439815356 (hardback)
  identifier: 2010034923
  record info:
    record content source: DLC
    record creation date: 100903
    record change date: 20151202112543.0
    record identifier: in00002655524