174 search results - page 16 / 35 » Neural network ensembles for time series forecasting |
NN
2008
Springer
14 years 9 months ago
2008
Springer
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 ...
87
Voted
WSOM
2009
Springer
15 years 4 months ago
2009
Springer
We propose Merge Growing Neural Gas (MGNG) as a novel unsupervised growing neural network for time series analysis. MGNG combines the state-of-the-art recursive temporal context of...
ICMLA
2010
14 years 7 months ago
2010
Reinforcement learning algorithms that employ neural networks as function approximators have proven to be powerful tools for solving optimal control problems. However, their traini...
DMIN
2006
14 years 11 months ago
2006
- In this paper we propose a new methodology for Cost-Benefit analysis in a multiple time series prediction problem. The proposed model is evaluated in a real world application bas...
69
Voted
IJCNN
2008
IEEE
15 years 3 months ago
2008
IEEE
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...