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Herausgeber: 
  • Günther Palm
  • Francesco Masulli
  • Peter Erdi
  • Wlodzislaw Duch
  • Alessandro Villa
  • Artificial Neural Networks and Machine Learning -- ICANN 2012: 22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, Sep 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  August 2012  
    Genre:  EDV / Informatik 
     
    Algorithm Analysis and Problem Complexity / Algorithms / Algorithms & data structures / Application software / Artificial Intelligence / Automated Pattern Recognition / C / Computation by Abstract Devices
    ISBN:  9783642332685 
    EAN-Code: 
    9783642332685 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #7552 - Lecture Notes in Computer Science
    Theoretical Computer Science and General Issues  
    Dimensionen:  H / B / D  
    Gewicht:  1157 gr 
    Seiten:  739 
    Illustration:  XXVII, 739 p. 303 illus., schwarz-weiss Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    The two-volume set LNCS 7552 + 7553 constitutes the proceedings of the 22nd International Conference on Artificial Neural Networks, ICANN 2012, held in Lausanne, Switzerland, in September 2012. The 162 papers included in the proceedings were carefully reviewed and selected from 247 submissions. They are organized in topical sections named: theoretical neural computation; information and optimization; from neurons to neuromorphism; spiking dynamics; from single neurons to networks; complex firing patterns; movement and motion; from sensation to perception; object and face recognition; reinforcement learning; bayesian and echo state networks; recurrent neural networks and reservoir computing; coding architectures; interacting with the brain; swarm intelligence and decision-making; mulitlayer perceptrons and kernel networks; training and learning; inference and recognition; support vector machines; self-organizing maps and clustering; clustering, mining and exploratory analysis; bioinformatics; and time weries and forecasting.
      



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