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>.
| Version: | 0.1.0 |
| Imports: | caret, dplyr, caretForecast, tseries, stats, wavelets, TSLSTM |
| Published: | 2023-04-06 |
| DOI: | 10.32614/CRAN.package.WaveletLSTM |
| Author: | Dr. Ranjit Kumar Paul [aut], Dr. Md Yeasin [aut, cre] |
| Maintainer: | Dr. Md Yeasin <yeasin.iasri at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | WaveletLSTM results |
| Reference manual: | WaveletLSTM.html , WaveletLSTM.pdf |
| Package source: | WaveletLSTM_0.1.0.tar.gz |
| Windows binaries: | r-devel: WaveletLSTM_0.1.0.zip, r-release: WaveletLSTM_0.1.0.zip, r-oldrel: WaveletLSTM_0.1.0.zip |
| macOS binaries: | r-release (arm64): WaveletLSTM_0.1.0.tgz, r-oldrel (arm64): WaveletLSTM_0.1.0.tgz, r-release (x86_64): WaveletLSTM_0.1.0.tgz, r-oldrel (x86_64): WaveletLSTM_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=WaveletLSTM to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.