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IWANN
1999
Springer
13 years 9 months ago
Forecasting Financial Time Series through Intrinsic Dimension Estimation and Non-Linear Data Projection
A crucial problem in non-linear time series forecasting is to determine its auto-regressive order, in particular when the prediction method is non-linear. We show in this paper tha...
Michel Verleysen, Eric de Bodt, Amaury Lendasse
IWANN
2001
Springer
13 years 9 months ago
Is Neural Network a Reliable Forecaster on Earth? A MARS Query!
: Long-term rainfall prediction is a challenging task especially in the modern world where we are facing the major environmental problem of global warming. In general, climate and ...
Ajith Abraham, Dan Steinberg
NN
2006
Springer
100views Neural Networks» more  NN 2006»
13 years 5 months ago
Exploratory analysis of climate data using source separation methods
Alexander Ilin, Harri Valpola, Erkki Oja
ESWA
2010
118views more  ESWA 2010»
13 years 3 months ago
Integrating independent component analysis-based denoising scheme with neural network for stock price prediction
The forecasting of stock price is one of the most challenging tasks in investment/financial decision-making since stock prices/indices are inherently noisy and non-stationary. In ...
Chi-Jie Lu
ICANN
2010
Springer
13 years 6 months ago
A Feature Selection Method for Air Quality Forecasting
Abstract. Local air quality forecasting can be made on the basis of meteorological and air pollution time series. Such data contain redundant information. Partial mutual informatio...
Luca Mesin, Fiammetta Orione, Riccardo Taormina, E...