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    ESANN
    2001
    162views Neural Networks» more  ESANN 2001»
    A divide-and-conquer learning architecture for predicting unknown motion
    13 years 9 months ago
    A divide-and-conquer learning architecture for predicting unknown motion
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    Time varying environments or model selection problems lead to crucial dilemmas in identification and control science. In this paper, we propose a modular prediction scheme consisti...
    Patrice Wira, Jean-Philippe Urban, Julien Gresser
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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 9 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
    65views Neural Networks» more  ESANN 2003»
    Robust Topology Representing Networks
    13 years 9 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
    66views Neural Networks» more  ESANN 2003»
    Meter value recognition using locally connected hierarchical networks
    13 years 9 months ago
    Meter value recognition using locally connected hierarchical networks
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    This paper describes a two-stage system for the recognition ge meter values. A feed-forward Neural Abstraction Pyramid is initialized in an unsupervised manner and trained in a sup...
    Sven Behnke
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    ESANN
    2003
    100views Neural Networks» more  ESANN 2003»
    Mathematical Aspects of Neural Networks
    13 years 9 months ago
    Mathematical Aspects of Neural Networks
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    In this tutorial paper about mathematical aspects of neural networks, we will focus on two directions: on the one hand, we will motivate standard mathematical questions and well st...
    Barbara Hammer, Thomas Villmann
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