Wavelet low- and high-frequency components as features for predicting stock prices with backpropagation neural networks.
Salim LahmiriPublished in: J. King Saud Univ. Comput. Inf. Sci. (2014)
Keyphrases
- stock price
- backpropagation neural networks
- neural network
- neural nets
- feature extraction
- wavelet transform
- multiresolution
- artificial neural networks
- low and high frequency
- non stationary
- multiscale
- feature set
- high frequency
- stock market
- data mining
- feature space
- image quality
- training data
- image segmentation
- feature selection
- genetic algorithm