174 search results - page 6 / 35 » Neural network ensembles for time series forecasting |
FUZZY
1997
Springer
15 years 1 months ago
1997
Springer
Abstract. In this paper, neural networks trained with the back-propagation algorithm are applied to predict the future values of time series that consist of the weekly demand on it...
112
Voted
ICANN
2001
Springer
15 years 1 months ago
2001
Springer
Abstract. An application of the recently proposed generalized relevance learning vector quantization (GRLVQ) to the analysis and modeling of time series data is presented. We use G...
AUSAI
2004
Springer
15 years 2 months ago
2004
Springer
We present here an original work that uses machine learning techniques to combine time series forecasts. In this proposal, a machine learning technique uses features of the series ...
70
Voted
ICAISC
2004
Springer
15 years 2 months ago
2004
Springer
This paper presents a novel approach to financial time series analysis and prediction. It is mainly devoted to the problem of forecasting university facility and administrative co...
67
Voted
ISCC
2007
IEEE
15 years 3 months ago
2007
IEEE
A long horizon end-to-end delay forecast, if possible, will be a breakthrough in traffic engineering. This paper introduces a hybrid approach to forecast end-to-end delays using ...