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    ESANN
    2003
    134views Neural Networks» more  ESANN 2003»
    Autonomous learning algorithm for fully connected recurrent networks
    13 years 10 months ago
    Autonomous learning algorithm for fully connected recurrent networks
    Download  www.univ-lehavre.fr
    In this paper fully connected RTRL neural networks are studied. In order to learn dynamical behaviours of linear-processes or to predict time series, an autonomous learning algori...
    Edouard Leclercq, Fabrice Druaux, Dimitri Lefebvre
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    ESANN
    2003
    109views Neural Networks» more  ESANN 2003»
    Self-organizing maps and functional networks for local dynamic modeling
    13 years 10 months ago
    Self-organizing maps and functional networks for local dynamic modeling
    Download  www.dice.ucl.ac.be
    The paper presents a method for times series prediction using a local dynamic modeling based on a three step process. In the first step the input data is embedded in a reconstruct...
    Noelia Sánchez-Maroño, Oscar Fontenl...
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    ESANN
    2003
    111views Neural Networks» more  ESANN 2003»
    On the weight dynamics of recurrent learning
    13 years 10 months ago
    On the weight dynamics of recurrent learning
    Download  www.dice.ucl.ac.be
    We derive continuous-time batch and online versions of the recently introduced efficient O(N2 ) training algorithm of Atiya and Parlos [2000] for fully recurrent networks. A mathem...
    Ulf D. Schiller, Jochen J. Steil
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    ESANN
    2003
    152views Neural Networks» more  ESANN 2003»
    Improving iterative repair strategies for scheduling with the SVM
    13 years 10 months ago
    Improving iterative repair strategies for scheduling with the SVM
    Download  www2.in.tu-clausthal.de
    The resource constraint project scheduling problem (RCPSP) is an NP-hard benchmark problem in scheduling which takes into account the limitation of resources’ availabilities in ...
    Kai Gersmann, Barbara Hammer
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    ESANN
    2003
    83views Neural Networks» more  ESANN 2003»
    Locally Linear Embedding versus Isotop
    13 years 10 months ago
    Locally Linear Embedding versus Isotop
    Download  www.dice.ucl.ac.be
    Abstract. Recently, a new method intended to realize conformal mappings has been published. Called Locally Linear Embedding (LLE), this method can map high-dimensional data lying o...
    John Aldo Lee, Cédric Archambeau, Michel Ve...
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