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» Neural Network Ensembles for Time Series Prediction
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ESANN
2006
13 years 9 months ago
LS-SVM functional network for time series prediction
Usually time series prediction is done with regularly sampled data. In practice, however, the data available may be irregularly sampled. In this case the conventional prediction me...
Tuomas Kärnä, Fabrice Rossi, Amaury Lend...
SBRN
2008
IEEE
14 years 1 months ago
Selecting Neural Network Forecasting Models Using the Zoomed-Ranking Approach
In this work, we propose to use the Zoomed-Ranking approach to ranking and selecting Artificial Neural Network (ANN) models for time series forecasting. Given a time series to fo...
Patrícia M. Santos, Teresa Bernarda Ludermi...
ICONIP
2008
13 years 9 months ago
An Exemplar-Based Statistical Model for the Dynamics of Neural Synchrony
Abstract. A method is proposed to determine the similarity of a collection of time series. As a first step, one extracts events from the time series, in other words, one converts e...
Justin Dauwels, François B. Vialatte, Theop...
FLAIRS
2001
13 years 9 months ago
Time Series Analysis Using Unsupervised Construction of Hierarchical Classifiers
Recently we have proposed an algorithm of constructing hierarchical neural network classifiers (HNNC), that is based on a modification of error back-propagation. This algorithm co...
S. A. Dolenko, Yu. V. Orlov, I. G. Persiantsev, Ju...
NN
2008
Springer
146views Neural Networks» more  NN 2008»
13 years 7 months ago
Clustering and co-evolution to construct neural network ensembles: An experimental study
This paper introduces an approach called Clustering and Co-evolution to Construct Neural Network Ensembles (CONE). This approach creates neural network ensembles in an innovative ...
Fernanda L. Minku, Teresa Bernarda Ludermir