Ro-Ro Freight Prediction Using a Hybrid Approach Based on Empirical Mode Decomposition, Permutation Entropy and Artificial Neural Networks.
José Antonio Moscoso LópezJuan Jesús Ruiz-AguilarJavier González-EnriqueDaniel UrdaHéctor MesaIgnacio J. TuriasPublished in: HAIS (2019)
Keyphrases
- empirical mode decomposition
- stock market prediction
- artificial neural networks
- non stationary
- neural network
- signal analysis
- intrinsic mode functions
- mutual information
- genetic algorithm
- image analysis
- positive and negative
- hilbert huang transform
- multi band
- wavelet decomposition
- information content
- infrared
- natural images
- high quality
- image processing
- computer vision