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: Fuzzy and neural
    sub title: interactions and applications
  name:
    name part: Buckley, James J.
    name part: 1936-
    role:
      role term: creator
  name:
    name part: Feuring, Thomas.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: gw
    date issued: 1998
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (xiii, 162 pages)
  abstract: This book is about recent research area described as the intersection of fuzzy sets, (layered, feedforward) neural nets and evolutionary algorithms. Also called "soft computing". The treatment is elementary in that all "proofs" have been relegated to the references and the only mathematical prerequisite is elementary differential calculus. No previous knowledge of neural nets nor fuzzy sets is needed. Most of the discussion centers around the authors' own research in this area over the last ten years. The book brings together results on: (1) approximations between neural nets and fuzzy systems; (2) building hybrid neural nets for fuzzy systems; (3) approximations between fuzzy neural nets for fuzzy systems. New results include the use of evolutionary algorithms to train fuzzy neural nets and the introduction of a "fuzzy teaching machine". The interaction between fuzzy and neural is also illustrated in the use of neural nets to solve fuzzy problems and the use of fuzzy neural nets to solve the "overfitting" problem of regular neural nets. Besides giving a comprehensive theoretical survey of these results the authors also survey the unsolved problems in this exciting, new, area of research.
  table of contents: Introduction -- Fuzzy Sets and Fuzzy Functions -- Neural Nets -- First Approximation Results -- Hybrid Neural Nets -- Neural Nets Solve Fuzzy Problems -- Fuzzy Neural Nets -- Second Approximation Results -- Hybrid Fuzzy Neural Nets -- Applications of Hybrid Fuzzy Neural Nets and Fuzzy Neural Nets -- Fuzzy Teaching Machine -- Summary, Future Research and Conclusions.
  note: by James J. Buckley, Thomas Feuring.
  note: Electronic resource.
  note: Includes bibliographical references and index.
  subject:
    topic: Soft computing
  subject:
    topic: Fuzzy systems
  subject:
    topic: Neural networks (Computer science)
  subject:
    topic: Computer science
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Control, Robotics, Mechatronics
  subject:
    topic: Business Information Systems
  subject:
    topic: Fuzzy systems
  subject:
    topic: Neural networks (Computer science)
  subject:
    topic: Soft computing
  classification: QA76.9.S63 B83 1998
  classification: TJ210.2-211.495
  classification: 006.3
  related item:
    title info:
      title: Studies in fuzziness and soft computing ; 25
  identifier: 9783790818819 (electronic bk.)
  identifier: 379081881X (electronic bk.)
  identifier: 9783662118078
  identifier: 3662118076 (print)
  identifier: 9783662118078 (print)
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: NUI
    record creation date: 130428
    record change date: 20260422222244.4
    record identifier: in00003568007
    language of cataloging:
      language term: eng