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    ESANN
    2003
    65views Neural Networks» more  ESANN 2003»
    Robust Topology Representing Networks
    13 years 10 months ago
    Robust Topology Representing Networks
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    Martinetz and Schulten proposed the use of a Competitive Hebbian Learning (CHL) rule to build Topology Representing Networks. From a set of units and a data distribution, a link i...
    Michaël Aupetit
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    ESANN
    2003
    136views Neural Networks» more  ESANN 2003»
    Neural Networks and M5 model trees in modeling water level-discharge relationship for an Indian river
    13 years 10 months ago
    Neural Networks and M5 model trees in modeling water level-discharge relationship for an Indian river
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    : In flood management it is important to reliably estimate the discharge in a river. Hydrologists use historic data to establish a rating curve – a relationship between the water...
    Biswanath Bhattacharya, Dimitri P. Solomatine
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    ESANN
    2003
    127views Neural Networks» more  ESANN 2003»
    Kernel PLS variants for regression
    13 years 10 months ago
    Kernel PLS variants for regression
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    Abstract. We focus on covariance criteria for finding a suitable subspace for regression in a reproducing kernel Hilbert space: kernel principal component analysis, kernel partial...
    Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewall...
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    ESANN
    2003
    156views Neural Networks» more  ESANN 2003»
    Fast approximation of the bootstrap for model selection
    13 years 10 months ago
    Fast approximation of the bootstrap for model selection
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    The bootstrap resampling method may be efficiently used to estimate the generalization error of a family of nonlinear regression models, as artificial neural networks. The main dif...
    Geoffroy Simon, Amaury Lendasse, Vincent Wertz, Mi...
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    ESANN
    2003
    118views Neural Networks» more  ESANN 2003»
    Evolved Neurodynamics for Robot Control
    13 years 10 months ago
    Evolved Neurodynamics for Robot Control
    Download  www.dice.ucl.ac.be
    Small recurrent neural network with two and three neurons are able to control autonomous robots showing obstacle avoidance and photo-tropic behaviors. They have been generated by e...
    Frank Pasemann, Martin Hülse, Keyan Zahedi
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