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ICANN
2010
Springer
13 years 5 months ago
Time Series Forecasting by Evolving Artificial Neural Networks Using "Shuffle", Cross-Validation and Ensembles
Accurate time series forecasting are important for several business, research, and application of engineering systems. Evolutionary Neural Networks are particularly appealing becau...
Juan Peralta, Germán Gutiérrez, Arac...
SBRN
2002
IEEE
14 years 14 days ago
Using a Chain of LVQ Neural Networks for Pattern Recognition of EEG Signals Related to Intermittent Photic-Stimulation
This work reports the use of neural networks for pattern recognition in electroencephalographic signals related to intermittent photic-stimulation. Due to the low signal/noise rat...
Mauricio Kugler, Heitor Silvério Lopes
ESWA
2008
169views more  ESWA 2008»
13 years 7 months ago
Predicting opponent's moves in electronic negotiations using neural networks
Electronic negotiation experiments provide a rich source of information about relationships between the negotiators, their individual actions, and the negotiation dynami...
Réal Carbonneau, Gregory E. Kersten, Rustam...
IJCNN
2008
IEEE
14 years 1 months ago
A neural network approach to ordinal regression
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...
Jianlin Cheng, Zheng Wang, Gianluca Pollastri
ICASSP
2011
IEEE
12 years 11 months ago
Extensions of recurrent neural network language model
We present several modifications of the original recurrent neural network language model (RNN LM). While this model has been shown to significantly outperform many competitive l...
Tomas Mikolov, Stefan Kombrink, Lukas Burget, Jan ...