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    ESANN
    2004
    111views Neural Networks» more  ESANN 2004»
    Fast semi-automatic segmentation algorithm for Self-Organizing Maps
    13 years 6 months ago
    Fast semi-automatic segmentation algorithm for Self-Organizing Maps
    Download  www.dice.ucl.ac.be
    Self-Organizing Maps (SOM) are very powerful tools for data mining, in particular for visualizing the distribution of the data in very highdimensional data sets. Moreover, the 2D m...
    David Opolon, Fabien Moutarde
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    ESANN
    2004
    90views Neural Networks» more  ESANN 2004»
    A sliding mode controller using neural networks for robot manipulator
    13 years 6 months ago
    A sliding mode controller using neural networks for robot manipulator
    Download  www.dice.ucl.ac.be
    Abstract. This paper proposes a new sliding mode controller using neural networks. Multilayer neural networks with the error back-propagation learning algorithm are used to compens...
    Hajoon Lee, Dongkyung Nam, Cheol Hoon Park
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    ESANN
    2004
    110views Neural Networks» more  ESANN 2004»
    Neural network-based calibration of positron emission tomograph detector modules
    13 years 6 months ago
    Neural network-based calibration of positron emission tomograph detector modules
    Download  www.dice.ucl.ac.be
    In this paper we describe a neural network-based method aimed at automatically calibrating the detector module contained in a scanner for a highresolution positron emission tomogra...
    Beatrice Lazzerini, Francesco Marcelloni, Giovanni...
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    ESANN
    2004
    157views Neural Networks» more  ESANN 2004»
    Neuro-predictive control based self-tuning of PID controllers
    13 years 6 months ago
    Neuro-predictive control based self-tuning of PID controllers
    Download  www.dice.ucl.ac.be
    : In this paper we present a new self-tuning procedure for PID controllers based on neuro-predictive control. A finite horizon optimal control problem is solved on-line, permitting...
    Corneliu Lazar, Sorin Carari, Draguna Vrabie, Mari...
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    ESANN
    2004
    106views Neural Networks» more  ESANN 2004»
    Bias Term b in SVMs Again
    13 years 6 months ago
    Bias Term b in SVMs Again
    Download  www.learning-from-data.com
    Te Ming Huang, Vojislav Kecman
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    ESANN
    2004
    126views Neural Networks» more  ESANN 2004»
    Modelling of biologically plausible excitatory networks: emergence and modulation of neural synchrony
    13 years 6 months ago
    Modelling of biologically plausible excitatory networks: emergence and modulation of neural synchrony
    Download  www.dice.ucl.ac.be
    To emphasize the electrical nature of information processing in the brain we use a compartmental model of single neurons. The realistic simulation of wave-like activity in the recu...
    Karsten Kube, Andreas Herzog, Vadym Spravedlyvyy, ...
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    ESANN
    2004
    98views Neural Networks» more  ESANN 2004»
    Forbidden Magnification? I
    13 years 6 months ago
    Forbidden Magnification? I
    Download  www.dice.ucl.ac.be
    This paper presents some interesting results obtained by the algorithm by Bauer, Der and Hermann (BDH) [1] for magnification control in Self-Organizing Maps. Magnification control ...
    Abha Jain, Erzsébet Merényi
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    ESANN
    2004
    110views Neural Networks» more  ESANN 2004»
    Learning by geometrical shape changes of dendritic spines
    13 years 6 months ago
    Learning by geometrical shape changes of dendritic spines
    Download  www.dice.ucl.ac.be
    The role of dendritic spines in neuronal information processing is still not completely clear. However, it is known that spines can change shape rapidly during development and duri...
    Andreas Herzog, Vadym Spravedlyvyy, Karsten Kube, ...
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    ESANN
    2004
    91views Neural Networks» more  ESANN 2004»
    MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality
    13 years 6 months ago
    MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality
    Download  www.dice.ucl.ac.be
    Luis Javier Herrera, Ignacio Rojas Ruiz, Hé...
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    ESANN
    2004
    92views Neural Networks» more  ESANN 2004»
    Input Space Bifurcation Manifolds of RNNs
    13 years 6 months ago
    Input Space Bifurcation Manifolds of RNNs
    Download  ni.www.techfak.uni-bielefeld.de
    We derive analytical expressions of local codim-1-bifurcations for a fully connected, additive, discrete-time RNN, where we regard the external inputs as bifurcation parameters. Th...
    Robert Haschke, Jochen J. Steil
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