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    ESANN
    2000
    129views Neural Networks» more  ESANN 2000»
    Discriminative learning for neural decision feedback equalizers
    13 years 9 months ago
    Discriminative learning for neural decision feedback equalizers
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    In this work new Decision-Feedback (DF) Neural Equalizers (DFNE) are introduced and compared with classical DF equalizers and Viterbi demodulators. It is shown that the choice of ...
    Elio D. Di Claudio, Raffaele Parisi, Gianni Orland...
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    ESANN
    2000
    118views Neural Networks» more  ESANN 2000»
    Committee formation for reliable and accurate neural prediction in industry
    13 years 9 months ago
    Committee formation for reliable and accurate neural prediction in industry
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    Abstract. This paper describes "cranking", a new committee formation algorithm. Cranking results in accurate and reliable committee predictions, even when applied to comp...
    Peter J. Edwards, Alan F. Murray
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    ESANN
    2000
    87views Neural Networks» more  ESANN 2000»
    A comparative design of a MIMO neural adaptive rate damping for a nonlinear helicopter model
    13 years 9 months ago
    A comparative design of a MIMO neural adaptive rate damping for a nonlinear helicopter model
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    Using a nonlinear 15-state helicopter model in 6 DOF, two di erent neural control systems, both acting as rate damping, have been designed and compared. They are both based on the ...
    Piero A. Gili, Manuela Battipede
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    ESANN
    2000
    141views Neural Networks» more  ESANN 2000»
    Learning VOR-like stabilization reflexes in robots
    13 years 9 months ago
    Learning VOR-like stabilization reflexes in robots
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    We present a binocular robot that learns compensatory camera movements for image stabilization purposes. Most essential in achieving satisfactory image stabilization performance i...
    Francesco Panerai, Giorgio Metta, Giulio Sandini
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    ESANN
    2000
    97views Neural Networks» more  ESANN 2000»
    A neural network architecture for automatic segmentation of fluorescence micrographs
    13 years 9 months ago
    A neural network architecture for automatic segmentation of fluorescence micrographs
    Download  www.dice.ucl.ac.be
    A system for the automatic segmentation of fluorescence micrographs is presented. In a first step positions of fluorescent cells are detected by a fast learning neural network, whi...
    Tim W. Nattkemper, Heiko Wersing, Walter Schubert,...
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