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    ESANN
    2003
    184views Neural Networks» more  ESANN 2003»
    Approximation of Function by Adaptively Growing Radial Basis Function Neural Networks
    14 years 28 days 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
    14 years 28 days 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
    14 years 28 days 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
    14 years 28 days 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
    14 years 28 days 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
    14 years 28 days ago
    Searching optimal feature subset using mutual information
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    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
    14 years 28 days 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
    14 years 28 days 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
    14 years 28 days 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
    14 years 28 days 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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