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    ESANN
    2006
    202views Neural Networks» more  ESANN 2006»
    LS-SVM functional network for time series prediction
    13 years 6 months ago
    LS-SVM functional network for time series prediction
    Download  www.dice.ucl.ac.be
    Usually time series prediction is done with regularly sampled data. In practice, however, the data available may be irregularly sampled. In this case the conventional prediction me...
    Tuomas Kärnä, Fabrice Rossi, Amaury Lend...
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    NPL
    1998
    175views more  NPL 1998»
    Prediction of Chaotic Time-Series with a Resource-Allocating RBF Network
    13 years 4 months ago
    Prediction of Chaotic Time-Series with a Resource-Allocating RBF Network
    Download  www.meduniwien.ac.at
    Abstract. One of the main problems associated with arti cial neural networks online learning methods is the estimation of model order. In this paper, we report about a new approach...
    Roman Rosipal, Milos Koska, Igor Farkas
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    COMPSYSTECH
    2010
    148views Hardware» more  COMPSYSTECH 2010»
    Integration of neural networks and expert systems for time series prediction
    13 years 1 months ago
    Integration of neural networks and expert systems for time series prediction
    Download  www.iit.bas.bg
    : In this paper an approach for development of univariate time series prediction library in Java and its integration with an existing CLIPS related system is presented .A backpropa...
    Ventsislav Nikolov, Valeri Bogdanov
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    DMIN
    2006
    122views Data Mining» more  DMIN 2006»
    Cost-Sensitive Analysis in Multiple Time Series Prediction
    13 years 6 months ago
    Cost-Sensitive Analysis in Multiple Time Series Prediction
    Download  ww1.ucmss.com
    - In this paper we propose a new methodology for Cost-Benefit analysis in a multiple time series prediction problem. The proposed model is evaluated in a real world application bas...
    Chamila Walgampaya, Mehmed M. Kantardzic
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    NN
    2007
    Springer
    110views Neural Networks» more  NN 2007»
    Fading memory and time series prediction in recurrent networks with different forms of plasticity
    13 years 4 months ago
    Fading memory and time series prediction in recurrent networks with different forms of plasticity
    Download  fias.uni-frankfurt.de
    Andreea Lazar, Gordon Pipa, Jochen Triesch
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