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: Neuro-Fuzzy Architectures and Hybrid Learning
  name:
    name part: Rutkowska, Danuta.
    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: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2002
    edition: 1st ed. 2002.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIII, 288 p. online resource.
  abstract: The main idea of this book is to present novel connectionist architectures of neuro-fuzzy systems, especially those based on the logical approach to fuzzy inference. In addition, hybrid learning methods are proposed to train the networks. The neuro-fuzzy architectures plus hybrid learning are considered as intelligent systems within the framework of computational and artificial intelligence. The book also provides an overview of fuzzy sets and systems, neural networks, learning algorithms (including genetic algorithms and clustering methods), as well as expert systems and perception-based systems which incorporates computing with words.
  table of contents: 1 Introduction -- 2 Description of Fuzzy Inference Systems -- 2.1 Fuzzy Sets -- 2.2 Approximxate Reasoning -- 2.3 Fuzzy Systems -- 3 Neural Networks and Neuro-Fuzzy Systems -- 3.1 Neural Networks -- 3.2 Fuzzy Neural Networks -- 3.3 Fuzzy Inference Neural Networks -- 4 Neuro-Fuzzy Architectures Based on the Mamdani Approach -- 4.1 Basic Architectures -- 4.2 General Form of the Architectures -- 4.3 Systems with Inference Based on Bounded Product -- 4.4 Simplified Architectures -- 4.5 Architectures Based on Other Defuzzification Methods -- 4.6 Architectures of Systems with Non-Singleton Fuzzifier -- 5 Neuro-Fuzzy Architectures Based on the Logical Approach -- 5.1 Mathematical Descriptions of Implication-Based Systems -- 5.2 NOCFS Architectures -- 5.3 OCFS Architectures -- 5.4 Performance Analysis -- 5.5 Computer Simulations -- 6 Hybrid Learning Methods -- 6.1 Gradient Learning Algorithms -- 6.2 Genetic Algorithms -- 6.3 Clustering Algorithms -- 6.4 Hybrid Learning -- 6.5 Hybrid Learning Algorithms for Neuro-Fuzzy Systems -- 7 Intelligent Systems -- 7.1 Artificial and Computational Intelligence -- 7.2 Expert Systems -- 7.3 Intelligent Computational Systems -- 7.4 Perception-Based Intelligent Systems -- 8 Summary -- List of Figures -- List of Tables -- References.
  note: by Danuta Rutkowska.
  subject:
    topic: Artificial intelligence
  subject:
    topic: Artificial Intelligence
  classification: Q334-342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Fuzziness and Soft Computing, 85
  identifier: 9783790818024
  identifier: https://doi.org/10.1007/978-3-7908-1802-4
  record info:
    record creation date: 121116
    record change date: 20190619193323.0
    record identifier: 978-3-7908-1802-4