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: Innovations in Bio-inspired Computing and Applications
    sub title: Proceedings of the 4th International Conference on Innovations in Bio-Inspired Computing and Applications, IBICA 2013, August 22 -24, 2013 - Ostrava, Czech Republic
  name:
    name part: Abraham, Ajith.
    role:
      role term: editor.
  name:
    name part: Krömer, Pavel.
    role:
      role term: editor.
  name:
    name part: Snášel, Václav.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIII, 306 p. 117 illus. online resource.
  abstract: This volume of Advances in Intelligent Systems and Computing contains accepted papers presented at IBICA2013, the 4th International Conference on Innovations in Bio-inspired Computing and Applications. The aim of IBICA 2013 was to provide a platform for world research leaders and practitioners, to discuss the full spectrum of current theoretical developments, emerging technologies, and innovative applications of Bio-inspired Computing. Bio-inspired Computing is currently one of the most exciting research areas, and it is continuously demonstrating exceptional strength in solving complex real life problems. The main driving force of the conference is to further explore the intriguing potential of Bio-inspired Computing. IBICA 2013 was held in Ostrava, Czech Republic and hosted by the VSB - Technical University of Ostrava.
  table of contents: From the Contents: Power output models of Ordinary Differential Equations by Polynomial and Recurrent Neural Networks -- An Experimental Analysis of Reservoir Parameters of the Echo State Queuing Network model -- Measuring Phenotypic Structural Complexity of Artificial Cellular Organisms -- Fuzzy Rules and SVM Approach to the Estimation of Use Case Parameters.
  note: edited by Ajith Abraham, Pavel Krömer, Václav Snášel.
  subject:
    topic: Engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computational intelligence
  subject:
    topic: Engineering
  subject:
    topic: Computational Intelligence
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Advances in Intelligent Systems and Computing, 237
  identifier: 9783319017815
  identifier: http://dx.doi.org/10.1007/978-3-319-01781-5
  record info:
    record creation date: 130802
    record change date: 20151103122412.0
    record identifier: 978-3-319-01781-5