Bayesian Variable Selection in Neural Networks for Short-Term Meteorological Prediction.
Pierrick BruneauLaurence BoudetPublished in: ICONIP (4) (2012)
Keyphrases
- short term
- variable selection
- short term prediction
- long term
- neural network
- load forecasting
- motion prediction
- input variables
- chaotic time series
- high dimensional
- cross validation
- linear models
- arima model
- stock market
- wind speed
- artificial neural networks
- model selection
- forecasting model
- prediction model
- dimension reduction
- long term memory
- short term and long term
- maximum likelihood
- ls svm
- medium term
- short and long term
- machine learning
- bp neural network
- computational intelligence
- nearest neighbor
- fuzzy logic
- expert systems
- feature selection