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» Neural Network Ensembles for Time Series Prediction
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ICIC
2009
Springer
14 years 2 months ago
Solar Radiation Forecasting Using Ad-Hoc Time Series Preprocessing and Neural Networks
In this paper, we present an application of neural networks in the renewable energy domain. We have developed a methodology for the daily prediction of global solar radiation on a ...
Christophe Paoli, Cyril Voyant, Marc Muselli, Mari...
GECCO
2004
Springer
166views Optimization» more  GECCO 2004»
14 years 26 days ago
Evolutionary Ensemble for Stock Prediction
We propose a genetic ensemble of recurrent neural networks for stock prediction model. The genetic algorithm tunes neural networks in a two-dimensional and parallel framework. The ...
Yung-Keun Kwon, Byung Ro Moon
IDEAL
2004
Springer
14 years 25 days ago
Summarizing Time Series: Learning Patterns in 'Volatile' Series
Most financial time series processes are nonstationary and their frequency characteristics are time-dependant. In this paper we present a time series summarization and prediction ...
Saif Ahmad, Tugba Taskaya-Temizel, Khurshid Ahmad
ISNN
2010
Springer
13 years 6 months ago
MULP: A Multi-Layer Perceptron Application to Long-Term, Out-of-Sample Time Series Prediction
Abstract. A forecasting approach based on Multi-Layer Perceptron (MLP) Artificial Neural Networks (named by the authors MULP) is proposed for the NN5 111 time series long-term, out...
Eros Pasero, Giovanni Raimondo, Suela Ruffa
IJCNN
2008
IEEE
14 years 1 months ago
Financial time series prediction using a support vector regression network
Abstract— This paper presents a novel support vector regression (SVR) network for financial time series prediction. The SVR network consists of two layers of SVR: transformation...
Boyang Li, Jinglu Hu, Kotaro Hirasawa