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    ESANN
    2000
    141views Neural Networks» more  ESANN 2000»
    Learning VOR-like stabilization reflexes in robots
    13 years 6 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
    105views Neural Networks» more  ESANN 2000»
    Quantum iterative algorithm for image reconstruction problems
    13 years 6 months ago
    Quantum iterative algorithm for image reconstruction problems
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    Iterative algorithm based on quantum tunneling is proposed by making use of mean- eld approximation. W e apply our method to the problem of BW image reconstruction (IR). Its perfor...
    Jun-ichi Inoue
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    ESANN
    2000
    163views Neural Networks» more  ESANN 2000»
    Distributed clustering and local regression for knowledge discovery in multiple spatial databases
    13 years 6 months ago
    Distributed clustering and local regression for knowledge discovery in multiple spatial databases
    Download  www.ist.temple.edu
    Many large -scale spatial data analysis problems involve an investigation of relationships in heterogeneous databases. In such situations, instead of making predictions uniformly a...
    Aleksandar Lazarevic, Dragoljub Pokrajac, Zoran Ob...
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    ESANN
    2000
    159views Neural Networks» more  ESANN 2000»
    Bootstrap for neural model selection
    13 years 6 months ago
    Bootstrap for neural model selection
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    Riadh Kallel, Marie Cottrell, Vincent Vigneron
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    ESANN
    2000
    78views Neural Networks» more  ESANN 2000»
    A statistical model selection strategy applied to neural networks
    13 years 6 months ago
    A statistical model selection strategy applied to neural networks
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    In statistical modelling, an investigator must often choose a suitable model among a collection of viable candidates. There is no consensus in the research community on how such a...
    Joaquín Pizarro Junquera, Elisa Guerrero V&...
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    ESANN
    2000
    113views Neural Networks» more  ESANN 2000»
    Iterative learning neural network control for nonlinear system trajectory tracking
    13 years 6 months ago
    Iterative learning neural network control for nonlinear system trajectory tracking
    Download  www.dice.ucl.ac.be
    Ping Jiang, Rolf Unbehauen
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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 6 months ago
    A comparative design of a MIMO neural adaptive rate damping for a nonlinear helicopter model
    Download  www.dice.ucl.ac.be
    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
    118views Neural Networks» more  ESANN 2000»
    Committee formation for reliable and accurate neural prediction in industry
    13 years 6 months ago
    Committee formation for reliable and accurate neural prediction in industry
    Download  www.dice.ucl.ac.be
    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
    116views Neural Networks» more  ESANN 2000»
    Self-Organisation in the SOM with a finite number of possible inputs
    13 years 6 months ago
    Self-Organisation in the SOM with a finite number of possible inputs
    Download  www.dice.ucl.ac.be
    Abstract. Given a one dimensional SOM with a monotonically decreasing neighbourhood and an input distribution which is not Lebesque continuous, a set of su cient conditions and a T...
    John A. Flanagan
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    ESANN
    2000
    145views Neural Networks» more  ESANN 2000»
    Load forecasting dealing with medium voltage network reconfiguration
    13 years 6 months ago
    Load forecasting dealing with medium voltage network reconfiguration
    Download  www.dice.ucl.ac.be
    Planing the operation in modern power systems requires suitable anticipation of load evolution at different levels of distribution network. Under this perspective, load forecasting...
    José Nuno Fidalgo, João Abel Pe&cced...
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