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» Neural network ensembles for time series forecasting
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ICANN
2005
Springer
15 years 3 months ago
Mutual Information and k-Nearest Neighbors Approximator for Time Series Prediction
This paper presents a method that combines Mutual Information and k-Nearest Neighbors approximator for time series prediction. Mutual Information is used for input selection. K-Nea...
Antti Sorjamaa, Jin Hao, Amaury Lendasse
ICNC
2005
Springer
15 years 3 months ago
The Prediction of the Financial Time Series Based on Correlation Dimension
In this paper we firstly analysis the chaotic characters of three sets of the financial time series (Hang Sheng Index (HIS), Shanghai Stock Index and US gold price) based on the ph...
Chen Feng, Guangrong Ji, Wencang Zhao, Rui Nian
IWANN
2005
Springer
15 years 3 months ago
Direct and Recursive Prediction of Time Series Using Mutual Information Selection
Abstract. This paper presents a comparison between direct and recursive prediction strategies. In order to perform the input selection, an approach based on mutual information is u...
Yongnan Ji, Jin Hao, Nima Reyhani, Amaury Lendasse
DAGSTUHL
2003
14 years 11 months ago
Removing Some 'A' from AI: Embodied Cultured Networks
We embodied networks of cultured biological neurons in simulation and in robotics. This is a new research paradigm to study learning, memory, and information processing in real tim...
Douglas J. Bakkum, Alexander C. Shkolnik, Guy Ben-...
IJCNN
2008
IEEE
15 years 3 months ago
Long-term prediction of time series using NNE-based projection and OP-ELM
Abstract— This paper proposes a combination of methodologies based on a recent development –called Extreme Learning Machine (ELM)– decreasing drastically the training time of...
Antti Sorjamaa, Yoan Miche, Robert Weiss, Amaury L...