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ESANN
2003
14 years 1 months ago
A recognition of filaments in solar images with an artificial neural network
A new technique based on the Artificial Neural Network (ANN) was developed for an automated recognition of solar filaments, dark elongated features visible in the hydrogen H-alpha ...
Valentina V. Zharkova, Vitaly Schetinin
ESANN
2003
14 years 1 months ago
Developmental pruning of synapses and category learning
After an initial peak, the number of synapses in mammalian cerebral cortex decreases in the formative period and throughout adult life. However, if synapses are taken to reflect ci...
Roberto Viviani, Manfred Spitzer
ESANN
2003
14 years 1 months ago
Self-Organization by Optimizing Free-Energy
Jakob J. Verbeek, Nikos A. Vlassis, Ben J. A. Kr&o...
ESANN
2003
14 years 1 months ago
Neural assembly binding in linguistic representation
We present a neural architecture of sentence representation. Words are represented with neural cell assemblies. Relations between words are represented with ‘structure’ assembl...
Frank van der Velde, Marc de Kamps
ESANN
2003
14 years 1 months ago
Fast approximation of the bootstrap for model selection
The bootstrap resampling method may be efficiently used to estimate the generalization error of a family of nonlinear regression models, as artificial neural networks. The main dif...
Geoffroy Simon, Amaury Lendasse, Vincent Wertz, Mi...
ESANN
2003
14 years 1 months ago
On the weight dynamics of recurrent learning
We derive continuous-time batch and online versions of the recently introduced efficient O(N2 ) training algorithm of Atiya and Parlos [2000] for fully recurrent networks. A mathem...
Ulf D. Schiller, Jochen J. Steil
ESANN
2003
14 years 1 months ago
Self-organizing maps and functional networks for local dynamic modeling
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...
ESANN
2003
14 years 1 months ago
Cellular topographic self-organization under correlational learning
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
ESANN
2003
14 years 1 months ago
Mixture of Experts and Local-Global Neural Networks
- 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...