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    ESANN
    1998
    87views Neural Networks» more  ESANN 1998»
    Speech recognition with a new hybrid architecture combining neural networks and continuous HMM
    13 years 5 months ago
    Speech recognition with a new hybrid architecture combining neural networks and continuous HMM
    Download  www.mmk.e-technik.tu-muenchen.de
    Abstract. In this paper, we focus on a novel NN/HMM architecture for continuous speech recognition. The architecture incorporates a neural feature extraction to gain more discrimin...
    Daniel Willett, Gerhard Rigoll
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    ESANN
    1998
    149views Neural Networks» more  ESANN 1998»
    Introduction to speech recognition using neural networks
    13 years 5 months ago
    Introduction to speech recognition using neural networks
    Download  www.dice.ucl.ac.be
    Christian Wellekens
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    ESANN
    1998
    110views Neural Networks» more  ESANN 1998»
    Parsimonious learning feed-forward control
    13 years 5 months ago
    Parsimonious learning feed-forward control
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    Theo J. A. de Vries, Lars J. Idema, Wubbe J. R. Ve...
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    ESANN
    1998
    113views Neural Networks» more  ESANN 1998»
    A comparison between weighted radial basis functions and wavelet networks
    13 years 5 months ago
    A comparison between weighted radial basis functions and wavelet networks
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    In the present paper, Wavelet Networks, are proven to be, as well as many other neural paradigms, a speci c case of the generic paradigm named Weighted Radial Basis Functions Netw...
    Mirko Sgarbi, Valentina Colla, Leonardo Maria Reyn...
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    ESANN
    1998
    96views Neural Networks» more  ESANN 1998»
    A self-organising neural network for modelling cortical development
    13 years 5 months ago
    A self-organising neural network for modelling cortical development
    Download  www.dice.ucl.ac.be
    This paper presents a novel self-organising neural network. It has been developed for use as a simpli ed model of cortical development. Unlike many other models of topological map...
    Michael W. Spratling, Gillian Hayes
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    ESANN
    1998
    101views Neural Networks» more  ESANN 1998»
    Self-organizing ANNs for planetary surface composition research
    13 years 5 months ago
    Self-organizing ANNs for planetary surface composition research
    Download  www.dice.ucl.ac.be
    Erzsébet Merényi
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    ESANN
    1998
    135views Neural Networks» more  ESANN 1998»
    Forecasting time-series by Kohonen classification
    13 years 5 months ago
    Forecasting time-series by Kohonen classification
    Download  www.dice.ucl.ac.be
    In this paper, we propose a generic non-linear approach for time series forecasting. The main feature of this approach is the use of a simple statistical forecasting in small regio...
    Amaury Lendasse, Michel Verleysen, Eric de Bodt, M...
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    ESANN
    1998
    170views Neural Networks» more  ESANN 1998»
    Recurrent SOM with local linear models in time series prediction
    13 years 5 months ago
    Recurrent SOM with local linear models in time series prediction
    Download  www.dice.ucl.ac.be
    Recurrent Self-Organizing Map (RSOM) is studied in three di erent time series prediction cases. RSOM is used to cluster the series into local data sets, for which corresponding lo...
    Timo Koskela, Markus Varsta, Jukka Heikkonen, Kimm...
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    ESANN
    1998
    97views Neural Networks» more  ESANN 1998»
    Polyhedral mixture of linear experts for many-to-one mapping inversion
    13 years 5 months ago
    Polyhedral mixture of linear experts for many-to-one mapping inversion
    Download  www.bgu.ac.il
    Amir Karniel, Ron Meir, Gideon F. Inbar
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    ESANN
    1998
    135views Neural Networks» more  ESANN 1998»
    NAR time-series prediction: a Bayesian framework and an experiment
    13 years 5 months ago
    NAR time-series prediction: a Bayesian framework and an experiment
    Download  www.dice.ucl.ac.be
    : We extend the Bayesian framework to Multi-Layer Perceptron models of Non-linear Auto-Regressive time-series. The approach is evaluated on an artificial time-series and some commo...
    Michel Crucianu, Crucianu Uhry, Jean Pierre Asseli...
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