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 Automation in Renewable Energy
  name:
    name part: Baydyk, Tetyana.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Kussul, Ernst.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Wunsch II, Donald C.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 285 p. 232 illus., 101 illus. in color. online resource.
  abstract: After an introduction to renewable energy technologies, the authors present computational intelligence techniques for optimizing the manufacture of related technologies, including solar concentrators. In particular the authors present new applications for their neural classifiers for image and pattern recognition. The book will be of interest to researchers in computational intelligence, in particular in the domain of neural networks, and engineers engaged with renewable energy technologies.
  table of contents: Introduction to Renewable Energy -- Solar Concentrators -- Green Building Energy Supply -- Heat Engines -- Automating Solar Concentrator Manufacture -- Intelligent Systems for Manufacture and Control -- Examples of Neural Network Classifiers.
  note: by Tetyana Baydyk, Ernst Kussul, Donald C. Wunsch II.
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computational intelligence
  subject:
    topic: Renewable energy resources
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Computational Intelligence
  subject:
    topic: Renewable and Green Energy
  classification: Q334-342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Computational Intelligence Methods and Applications
  identifier: 9783030022365
  identifier: https://doi.org/10.1007/978-3-030-02236-5
  record info:
    record creation date: 190205
    record change date: 20191220125833.0
    record identifier: 978-3-030-02236-5