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    ESANN
    2003
    184views Neural Networks» more  ESANN 2003»
    Approximation of Function by Adaptively Growing Radial Basis Function Neural Networks
    13 years 5 months ago
    Approximation of Function by Adaptively Growing Radial Basis Function Neural Networks
    Download  www.dice.ucl.ac.be
    In this paper a neural network for approximating function is described. The activation functions of the hidden nodes are the Radial Basis Functions (RBF) whose parameters are learn...
    Jianyu Li, Siwei Luo, Yingjian Qi
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    ESANN
    2003
    111views Neural Networks» more  ESANN 2003»
    RetinotopicNET: An Efficient Simulator for Retinotopic Visual Architectures
    13 years 5 months ago
    RetinotopicNET: An Efficient Simulator for Retinotopic Visual Architectures
    Download  www.raulmuresan.ro
    : -RetinotopicNET is an efficient simulator for neural networks with retinotopic-like receptive fields. The system has two main characteristics: it is event-driven and it takes adv...
    Raul Cristian Muresan
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    ESANN
    2003
    83views Neural Networks» more  ESANN 2003»
    Locally Linear Embedding versus Isotop
    13 years 5 months ago
    Locally Linear Embedding versus Isotop
    Download  www.dice.ucl.ac.be
    Abstract. Recently, a new method intended to realize conformal mappings has been published. Called Locally Linear Embedding (LLE), this method can map high-dimensional data lying o...
    John Aldo Lee, Cédric Archambeau, Michel Ve...
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    ESANN
    2003
    134views Neural Networks» more  ESANN 2003»
    Autonomous learning algorithm for fully connected recurrent networks
    13 years 5 months ago
    Autonomous learning algorithm for fully connected recurrent networks
    Download  www.univ-lehavre.fr
    In this paper fully connected RTRL neural networks are studied. In order to learn dynamical behaviours of linear-processes or to predict time series, an autonomous learning algori...
    Edouard Leclercq, Fabrice Druaux, Dimitri Lefebvre
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    ESANN
    2003
    100views Neural Networks» more  ESANN 2003»
    Robust Vector Quantization for Burst Error Channels Using Genetic Algorithm
    13 years 5 months ago
    Robust Vector Quantization for Burst Error Channels Using Genetic Algorithm
    Download  www.dice.ucl.ac.be
    This paper presents a novel vector quantizer (VQ) design algorithm for a burst error channel (BEC). The algorithm minimizes the average distortion when the BEC is in normal state o...
    Wen-Jyi Hwang, Chien-Min Ou, Chin-Ming Yeh
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    ESANN
    2003
    117views Neural Networks» more  ESANN 2003»
    Searching optimal feature subset using mutual information
    13 years 5 months ago
    Searching optimal feature subset using mutual information
    Download  www.dice.ucl.ac.be
    A novel feature selection methodology is proposed with the concept of mutual information. The proposed methodology effectively circumvents two major problems in feature selection ...
    D. Huang, Tommy W. S. Chow
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    ESANN
    2003
    127views Neural Networks» more  ESANN 2003»
    Kernel PLS variants for regression
    13 years 5 months ago
    Kernel PLS variants for regression
    Download  www.dice.ucl.ac.be
    Abstract. We focus on covariance criteria for finding a suitable subspace for regression in a reproducing kernel Hilbert space: kernel principal component analysis, kernel partial...
    Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewall...
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    ESANN
    2003
    96views Neural Networks» more  ESANN 2003»
    Ensemble Methods for Multilayer Feedforward
    13 years 5 months ago
    Ensemble Methods for Multilayer Feedforward
    Download  www.dice.ucl.ac.be
    Training an ensemble of networks is an interesting way to improve the performance with respect to a single network. However there are several method to construct the ensemble and t...
    Carlos Hernández-Espinosa, Mercedes Fern&aa...
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    ESANN
    2003
    99views Neural Networks» more  ESANN 2003»
    A new rule extraction algorithm based on interval arithmetic
    13 years 5 months ago
    A new rule extraction algorithm based on interval arithmetic
    Download  www.dice.ucl.ac.be
    In this paper we propose a new algorithm for rule extraction from a trained Multilayer Feedforward network. The algorithm is based on an interval arithmetic network inversion for p...
    Carlos Hernández-Espinosa, Mercedes Fern&aa...
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    ESANN
    2003
    124views Neural Networks» more  ESANN 2003»
    Neural networks organizations to learn complex robotic functions
    13 years 5 months ago
    Neural networks organizations to learn complex robotic functions
    Download  www.dice.ucl.ac.be
    Abstract. This paper considers the general problem of function estimation with a modular approach of neural computing. We propose to use functionally independent subnetworks to lea...
    Gilles Hermann, Patrice Wira, Jean-Philippe Urban
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