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 systems
    sub title: emerging trends and challenges in deep neuro-fuzzy models and explainable artificial intelligence
  name:
    name part: Roy, Siddhartha
    role:
      role term: editor.
  name:
    name part: Sen, Soumya
    name part: 1982-
    role:
      role term: editor.
  name:
    name part: Cortesi, Agostino
    name part: 1963-
    role:
      role term: editor.
  name:
    name part: Taylor & Francis
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2026
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (400 pages) : illustrations (black and white).
  abstract: This book comprehensively covers an extensive array of topics within the realm of computational intelligence. The scope encompasses fuzzy logic, elucidating the principles and applications of this mathematical framework designed to handle uncertainty and imprecision in data. It delves into the fundamentals of neural networks, exploring their applications in diverse fields such as pattern recognition, image processing, and natural language processing. Covers a wide range of topics related to computational intelligence, including fuzzy logic, neural networks, and explainable artificial intelligence interpretation Discusses the challenges and limitations of computational intelligence techniques, such as the interpretability of artificial intelligence models and the need for ethical considerations in artificial intelligence applications Explains neural networks in natural language processing, neural networks in computer vision, and applications of neural networks in real-world scenarios Presents applications of computational intelligence in diverse areas such as robotics, transportation, web mining, healthcare, and finance Illustrates reinforcement learning-based control systems, adaptive control systems, neuro-fuzzy control systems, and applications of intelligent control systems The text is primarily written for senior undergraduates, graduate students, and academic researchers in diverse fields, including electrical engineering, electronics and communication engineering, computer science and engineering, and information technology.
  note: edited by Siddhartha Roy, Soumya Sen, Agostino Cortesi.
  subject:
    topic: Computational intelligence
  subject:
    topic: Fuzzy logic
  subject:
    topic: Neural networks (Computer science)
  subject:
    topic: Intelligence informatique
  subject:
    topic: Logique floue
  subject:
    topic: Réseaux neuronaux (Informatique)
  subject:
    topic: Computational intelligence
  subject:
    topic: Fuzzy logic
  subject:
    topic: Neural networks (Computer science)
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Intelligent data-driven systems and artificial intelligence
  identifier: 9781040669518
  identifier: 1040669514
  identifier: 9781003540298
  identifier: 1003540295
  identifier: 9781040521229
  identifier: 1040521223
  identifier: 9781003540298 Taylor & Francis
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: UKMGB
    record creation date: 251210
    record change date: 20260406155222.9
    record identifier: in00005777932
    language of cataloging:
      language term: eng