294 search results - page 16 / 59 » Neural Network Ensembles for Time Series Prediction |
EUSFLAT
2003
14 years 11 months ago
2003
ESANN
2003
14 years 11 months ago
2003
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...
70
Voted
ICA
2010
Springer
14 years 8 months ago
2010
Springer
One potential strength of recurrent neural networks (RNNs) is their – theoretical – ability to find a connection between cause and consequence in time series in an constraint-...
66
Voted
ICANN
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. The literature suggests that an ensemble of classifiers outperforms a single classifier across a range of classification problems. This paper investigates the applicat...
IJCNN
2007
IEEE
15 years 3 months ago
2007
IEEE
– Constructive algorithms are effective methods for designing Artificial Neural Networks (ANN) with good accuracy and generalization capability, yet with parsimonious network str...