Short-term rainfall time series prediction with incomplete data.
Cristian Rodriguez RiveroHector Daniel PatiñoJuliàn Antonio PuchetaPublished in: IJCNN (2015)
Keyphrases
- incomplete data
- short term
- load forecasting
- long term
- prediction model
- chaotic time series
- missing data
- learning bayesian networks
- em algorithm
- missing values
- non stationary
- bayesian networks
- neuro fuzzy
- short term and long term
- incomplete data sets
- neural network model
- artificial neural networks
- stock market
- hyperparameters
- function approximation
- long term memory
- forecasting model
- data sets
- short and long term
- moving average
- expectation maximization
- recurrent neural networks
- computer vision
- medium term
- typical testors
- data analysis
- wind speed
- ls svm
- decision trees
- power generation
- training set
- image processing
- arima model
- missing attribute values