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: Artificial neural networks for engineers and scientists
    sub title: solving ordinary differential equations
  name:
    name part: Chakraverty, Snehashish
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Mall, Susmita
    role:
      role term: author.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2017
    copyright date: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xvii, 150 pages)
  abstract: "Differential equations play a vital role in the fields of engineering and science. Problems in engineering and science can be modeled using ordinary or partial differential equations. Analytical solutions of differential equations may not be obtained easily, so numerical methods have been developed to handle them. Machine intelligence methods, such as Artificial Neural Networks (ANN), are being used to solve differential equations, and these methods are presented in Artificial Neural Networks for Engineers and Scientists: Solving Ordinary Differential Equations. This book shows how computation of differential equation becomes faster once the ANN model is properly developed and applied."--Provided by publisher.
  table of contents: Preliminaries of artificial neural network -- Preliminaries of ordinary differential equations -- Multilayer artificial neural network -- Regression-based ANN -- Single-layer functional link artificial neural network -- Single-layer functional link artificial neural network with regression-based weights -- Lane-Emden equations -- Duffing oscillator equations -- Van der Pol-Duffing oscillator equation.
  note: Snehashish Chakraverty and Susmita Mall.
  note: Includes bibliographical references and index.
  subject:
    topic: Differential equations
    topic: Data processing
  subject:
    topic: Engineering mathematics
    topic: Data processing
  subject:
    topic: Artificial intelligence
  subject:
    topic: Équations différentielles
    topic: Informatique
  subject:
    topic: Mathématiques de l'ingénieur
    topic: Informatique
  subject:
    topic: Intelligence artificielle
  subject:
    topic: artificial intelligence
  subject:
    topic: MATHEMATICS
    topic: Calculus
  subject:
    topic: MATHEMATICS
    topic: Mathematical Analysis
  subject:
    topic: Artificial intelligence
  subject:
    topic: Differential equations
    topic: Data processing
  subject:
    topic: Engineering mathematics
    topic: Data processing
  classification: QA372 .C42527 2017eb
  classification: 515/.3520285632
  related item:
    title info:
      title: Artificial neural networks for engineers and scientists
    name:
      name part: Chakraverty, Snehashish.
    origin info:
      publisher: Boca Raton : CRC Press, 2017
    identifier: (DLC) 2017004411
    identifier: (OCoLC)971248764
  identifier: 9781498781404
  identifier: 1498781403
  identifier: 9781351651318
  identifier: 1351651315
  identifier: 9781315155265
  identifier: 1315155265
  identifier: 9781351641807
  identifier: 1351641808
  identifier: 9781498781381
  identifier: 1498781381
  identifier: 9781351651318 Ingram Content Group
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: N$T
    record creation date: 170725
    record change date: 20241111204719.8
    record identifier: in00005527696
    language of cataloging:
      language term: eng