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    ESANN
    2003
    97views Neural Networks» more  ESANN 2003»
    Unsupervised Recursive Sequence Processing
    14 years 2 months ago
    Unsupervised Recursive Sequence Processing
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    We propose a self organizing map (SOM) for sequences by extending standard SOM by two features, the recursive update of Sperduti [7] and the hyperbolic neighborhood of Ritter [5]. ...
    Marc Strickert, Barbara Hammer
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    ESANN
    2003
    111views Neural Networks» more  ESANN 2003»
    An event-driven framework for the simulation of networks of spiking neurons
    14 years 2 months ago
    An event-driven framework for the simulation of networks of spiking neurons
    Download  www.dice.ucl.ac.be
    We propose an event-driven framework dedicated to the design and the simulation of networks of spiking neurons. It consists stract model of spiking neurons and an efficient event-d...
    Olivier Rochel, Dominique Martinez
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    ESANN
    2003
    94views Neural Networks» more  ESANN 2003»
    Neural Network Algorithms for the p-Median Problem
    14 years 2 months ago
    Neural Network Algorithms for the p-Median Problem
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    Enrique Domínguez Merino, José Mu&nt...
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    ESANN
    2003
    137views Neural Networks» more  ESANN 2003»
    Neural Net with Two Hidden Layers for Non-Linear Blind Source Separation
    14 years 2 months ago
    Neural Net with Two Hidden Layers for Non-Linear Blind Source Separation
    Download  www.dice.ucl.ac.be
    In this paper, we present an algorithm that minimizes the mutual information between the outputs of a perceptron with two hidden layers. The neural network is then used as separati...
    Rubén Martín-Clemente, Susana Hornil...
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    ESANN
    2003
    132views Neural Networks» more  ESANN 2003»
    Extraction of fuzzy rules from trained neural network using evolutionary algorithm
    14 years 2 months ago
    Extraction of fuzzy rules from trained neural network using evolutionary algorithm
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    This paper presents our approach to the rule extraction problem from trained neural network. A method called REX is briefly described. REX acquires a set of fuzzy rules using an ev...
    Urszula Markowska-Kaczmar, Wojciech Trelak
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    ESANN
    2003
    118views Neural Networks» more  ESANN 2003»
    Evolved Neurodynamics for Robot Control
    14 years 2 months ago
    Evolved Neurodynamics for Robot Control
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    Small recurrent neural network with two and three neurons are able to control autonomous robots showing obstacle avoidance and photo-tropic behaviors. They have been generated by e...
    Frank Pasemann, Martin Hülse, Keyan Zahedi
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    ESANN
    2003
    147views Neural Networks» more  ESANN 2003»
    Subject Categorization for Web Educational Resources using MLP
    14 years 2 months ago
    Subject Categorization for Web Educational Resources using MLP
    Download  www.dice.ucl.ac.be
    Abstract. The purpose of this study is to develop subject categorization methods for educational resources using multilayer perceptron (MLP) and to examine the performance of the t...
    Minoru Nakayama, Yasutaka Shimizu
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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 2 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
    14 years 2 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
    14 years 2 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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