324 search results - page 8 / 65 » A new evolutionary method for time series forecasting |
JIDM
2010
13 years 6 months ago
2010
One of the most important challenges for the researchers in the 21st Century is related to global heating and climate change that can have as consequence the intensiļ¬cation of na...
ISNN
2010
Springer
13 years 6 months ago
2010
Springer
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...
FLAIRS
2000
13 years 9 months ago
2000
This paper describes a new framework for using natural selection to evolve Bayesian Networks for use in forecasting time series data. It extends current research by introducing a ...
IJON
2007
13 years 7 months ago
2007
To predict the 100 missing values from a time series of 5000 data points, given for the IJCNN 2004 time series prediction competition, recurrent neural networks (RNNs) are trained...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
Forecasting sequences by expert ensembles generally assumes stationary or near-stationary processes; however, in complex systems and many real-world applications, we are frequentl...