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 and Bioinspired Systems
    sub title: 8th International Work-Conference on Artificial Neural Networks, IWANN 2005, Vilanova i la Geltrú, Barcelona, Spain, June 8-10, 2005. Proceedings
  name:
    name part: Cabestany, Joan.
    role:
      role term: editor.
  name:
    name part: Prieto, Alberto.
    role:
      role term: editor.
  name:
    name part: Sandoval, Francisco.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2005
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XXV, 1260 p. online resource.
  abstract: We present in this volume the collection of finally accepted papers of the eighth edition of the “IWANN” conference (“International Work-Conference on Artificial Neural Networks”). This biennial meeting focuses on the foundations, theory, models and applications of systems inspired by nature (neural networks, fuzzy logic and evolutionary systems). Since the first edition of IWANN in Granada (LNCS 540, 1991), the Artificial Neural Network (ANN) community, and the domain itself, have matured and evolved. Under the ANN banner we find a very heterogeneous scenario with a main interest and objective: to better understand nature and beings for the correct elaboration of theories, models and new algorithms. For scientists, engineers and professionals working in the area, this is a very good way to get solid and competitive applications. We are facing a real revolution with the emergence of embedded intelligence in many artificial systems (systems covering diverse fields: industry, domotics, leisure, healthcare, … ). So we are convinced that an enormous amount of work must be, and should be, still done. Many pieces of the puzzle must be built and placed into their proper positions, offering us new and solid theories and models (necessary tools) for the application and praxis of these current paradigms. The above-mentioned concepts were the main reason for the subtitle of the IWANN 2005 edition: “Computational Intelligence and Bioinspired Systems.” The call for papers was launched several months ago, addressing the following topics: 1. Mathematical and theoretical methods in computational intelligence.
  table of contents: Mathematical and Theoretical Methods -- Evolutionary Computation -- Neurocomputational Inspired Models -- Learning and Adaptation -- Radial Basic Functions Structures -- Self-organizing Networks and Methods -- Support Vector Machines -- Cellular Neural Networks -- Hybrid Systems -- Neuroengineering and Hardware Implementations -- Pattern Recognition -- Perception and Robotics -- Applications on Data Analysis and Preprocessing -- Applications on Data Mining -- Applications on Signal Processing -- Applications on Image Processing -- Applications on Forecasting -- Applications on Independent Component Analysis and Blind Source Separation -- Applications on Power Systems -- Other Applications.
  note: edited by Joan Cabestany, Alberto Prieto, Francisco Sandoval.
  subject:
    topic: Computer science
  subject:
    topic: Computers
  subject:
    topic: Algorithms
  subject:
    topic: Artificial intelligence
  subject:
    topic: Image processing
  subject:
    topic: Pattern recognition
  subject:
    topic: Evolutionary biology
  subject:
    topic: Computer Science
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Pattern Recognition
  subject:
    topic: Computation by Abstract Devices
  subject:
    topic: Algorithm Analysis and Problem Complexity
  subject:
    topic: Image Processing and Computer Vision
  subject:
    topic: Evolutionary Biology
  classification: Q334-342
  classification: TJ210.2-211.495
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Computer Science, 3512
  identifier: 9783540321064
  identifier: http://dx.doi.org/10.1007/b136983
  record info:
    record creation date: 110115
    record change date: 20151204143608.0
    record identifier: 978-3-540-32106-4