| Name : R-WaveletML
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.4.3
| Date : 2024-06-14 11:37:37
|
| Group : Development/Libraries/Other
| Source RPM : R-WaveletML-0.1.0-lp153.4.3.src.rpm
|
| Size : 0.05 MB
| |
| Packager : (none)
| |
| Summary : Wavelet Decomposition Based Hybrid Machine Learning Models
|
Description :
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>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
