WaveletML
Wavelet Decomposition Based Hybrid Machine Learning Models
Wavelet decomposes a series into multiple sub series called detailed and smooth components which helps to capture volatility at multi resolution level by various models. Two hybrid Machine Learning (ML) models (Artificial Neural Network and Support Vector Regression have been used) have been developed in combination with stochastic models, feature selection, and optimization algorithms for prediction of the data. The algorithms have been developed following Paul and Garai (2021) doi:10.1007/s00500-021-06087-4.
- Version0.1.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release04/05/2023
Team
Mr. Sandip Garai
Dr. Ranjit Kumar Paul
Show author detailsRolesAuthorDr. Md Yeasin
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- Imports12 packages
- Reverse Imports1 package