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: Computational Intelligence Paradigms
    sub title: Innovative Applications
  name:
    name part: Jain, Lakhmi C.
    role:
      role term: editor.
  name:
    name part: Sato-Ilic, Mika.
    role:
      role term: editor.
  name:
    name part: Virvou, Maria.
    role:
      role term: editor.
  name:
    name part: Tsihrintzis, George A.
    role:
      role term: editor.
  name:
    name part: Balas, Valentina Emilia.
    role:
      role term: editor.
  name:
    name part: Abeynayake, Canicious.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2008
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VIII, 281 p. online resource.
  abstract: System designers are faced with a large set of data which has to be analysed and processed efficiently. Advanced computational intelligence paradigms present tremendous advantages by offering capabilities such as learning, generalisation and robustness. These capabilities help in designing complex systems which are intelligent and robust. The book includes a sample of research on the innovative applications of advanced computational intelligence paradigms. The characteristics of computational intelligence paradigms such as learning, generalization based on learned knowledge, knowledge extraction from imprecise and incomplete data are the extremely important for the implementation of intelligent machines. The chapters include architectures of computational intelligence paradigms, knowledge discovery, pattern classification, clusters, support vector machines and gene linkage analysis. We believe that the research on computational intelligence will simulate great interest among designers and researchers of complex systems. It is important to use the fusion of various constituents of computational intelligence to offset the demerits of one paradigm by the merits of another.
  table of contents: An Introduction to Computational Intelligence Paradigms -- A Quest for Adaptable and Interpretable Architectures of Computational Intelligence -- MembershipMap: A Data Transformation for Knowledge Discovery Based on Granulation and Fuzzy Membership Aggregation -- Advanced Developments and Applications of the Fuzzy ARTMAP Neural Network in Pattern Classification -- Large Margin Methods for Structured Output Prediction -- Ensemble MLP Classifier Design -- Functional Principal Points and Functional Cluster Analysis -- Clustering with Size Constraints -- Cluster Validating Techniques in the Presence of Duplicates -- Fuzzy Blocking Regression Models -- Support Vector Machines and Features for Environment Perception in Mobile Robotics -- Linkage Analysis in Genetic Algorithms.
  note: edited by Lakhmi C. Jain, Mika Sato-Ilic, Maria Virvou, George A. Tsihrintzis, Valentina Emilia Balas, Canicious Abeynayake.
  subject:
    topic: Engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Engineering
  subject:
    topic: Appl.Mathematics/Computational Methods of Engineering
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  classification: TA329-348
  classification: TA640-643
  classification: 519
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Computational Intelligence, 137
  identifier: 9783540794745
  identifier: http://dx.doi.org/10.1007/978-3-540-79474-5
  record info:
    record creation date: 100301
    record change date: 20151204152044.0
    record identifier: 978-3-540-79474-5