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: Evolving Rule-Based Models
    sub title: A Tool for Design of Flexible Adaptive Systems
  name:
    name part: Angelov, Plamen P.
    role:
      role term: creator
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: gw
    date issued: 2002
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (xiii, 213 pages)
  abstract: The objects of modelling and control change due to dynamical characteristics, fault development or simply ageing. There is a need to up-date models inheriting useful structure and parameter information. The book gives an original solution to this problem with a number of examples. It treats an original approach to on-line adaptation of rule-based models and systems described by such models. It combines the benefits of fuzzy rule-based models suitable for the description of highly complex systems with the original recursive, non iterative technique of model evolution without necessarily using genetic algorithms, thus avoiding computational burden making possible real-time industrial applications. Potential applications range from autonomous systems, on-line fault detection and diagnosis, performance analysis to evolving (self-learning) intelligent decision support systems.
  table of contents: Introduction -- Part I: System Modelling: Basic Principles: Conventional Methods; Flexible Models -- Part II: Flexible Models Identification: Non-linear Approach to (Off-line) Identification of Flexible Models; Quasi-linear Approach to FRB Models (Off-line) Identification; Intelligent and Smart Adaptive Systems; On-line Identification of Flexible TSK-type Models -- Part III: Engineering Applications: Modelling Indoor Climate Control Systems; On-line Modelling of Fermentation Processes; Intelligent Risk Assessment; Conclusions.
  note: by Plamen P. Angelov.
  note: Electronic resource.
  subject:
    topic: Computer science
  subject:
    topic: Artificial intelligence
  subject:
    topic: Physics
  subject:
    topic: Engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer science
  subject:
    topic: Engineering
  subject:
    topic: Physics
  classification: Q334-342
  classification: TJ210.2-211.495
  classification: 006.3
  related item:
    title info:
      title: Studies in fuzziness and soft computing ; 92
  identifier: 9783790817942 (electronic bk.)
  identifier: 3790817945 (electronic bk.)
  identifier: 9783790825060
  identifier: 3790825069
  identifier: 3790817945
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: AU@
    record creation date: 130215
    record change date: 20260422200642.8
    record identifier: in00003568271
    language of cataloging:
      language term: eng