Ensemble empirical mode decomposition based deep learning models for forecasting river flow time series.
Reetun MaitiBalagopal G. MenonAnand AbrahamPublished in: Expert Syst. Appl. (2024)
Keyphrases
- learning models
- empirical mode decomposition
- stock market prediction
- non stationary
- learning algorithm
- machine learning
- semi supervised learning
- loss function
- learning tasks
- machine learning algorithms
- classification models
- conditional random fields
- intrinsic mode functions
- multi band
- wavelet decomposition
- hilbert huang transform
- learning problems
- training data
- neural network
- data sets
- semi supervised
- active learning
- decision trees
- feature selection
- probabilistic model
- multiresolution
- pairwise
- training set
- computer vision
- instantaneous frequency