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    ESANN
    2003
    109views Neural Networks» more  ESANN 2003»
    Self-organizing maps and functional networks for local dynamic modeling
    13 years 6 months ago
    Self-organizing maps and functional networks for local dynamic modeling
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    The paper presents a method for times series prediction using a local dynamic modeling based on a three step process. In the first step the input data is embedded in a reconstruct...
    Noelia Sánchez-Maroño, Oscar Fontenl...
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    ESANN
    2003
    116views Neural Networks» more  ESANN 2003»
    Cellular topographic self-organization under correlational learning
    13 years 6 months ago
    Cellular topographic self-organization under correlational learning
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    We consider two layered binary state neural networks in which cellular topographic self-organization occurs under correlational learning. The main result is that for separable inpu...
    Shouji Sakamoto, Shigeko Seki, Youichi Kobuchi
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    ESANN
    2003
    124views Neural Networks» more  ESANN 2003»
    Mixture of Experts and Local-Global Neural Networks
    13 years 6 months ago
    Mixture of Experts and Local-Global Neural Networks
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    - In this paper we investigate mixture of experts problems in the context of Local-Global Neural Networks. This type of architecture was originaly conceived for functional approxim...
    Mayte Suárez-Fariñas, Carlos Eduardo...
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    ESANN
    2003
    97views Neural Networks» more  ESANN 2003»
    Unsupervised Recursive Sequence Processing
    13 years 6 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
    13 years 6 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
    13 years 6 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
    13 years 6 months ago
    Neural Net with Two Hidden Layers for Non-Linear Blind Source Separation
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    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
    13 years 6 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
    13 years 6 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
    13 years 6 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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