| Name : R-WaveletLSTM
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp155.8.1
| Date : 2024-07-04 16:05:12
|
| Group : Development/Libraries/Other
| Source RPM : R-WaveletLSTM-0.1.0-lp155.8.1.src.rpm
|
| Size : 0.02 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Wavelet Based LSTM Model
|
Description :
A wavelet-based LSTM model is a type of neural network architecture
that uses wavelet technique to pre-process the input data before
passing it through a Long Short-Term Memory (LSTM) network. The
wavelet-based LSTM model is a powerful approach that combines the
benefits of wavelet analysis and LSTM networks to improve the accuracy
of predictions in various applications. This package has been developed
using the algorithm of Anjoy and Paul (2017) and Paul and Garai (2021)
< DOI:10.1007/s00521-017-3289-9> < doi:10.1007/s00500-021-06087-4>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
