The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
The best ANN structure for time series data analysis is a demanding need in the present era. This package will find the best-fitted ANN model based on forecasting accuracy. The optimum size of the hidden layers was also determined after determining the number of lags to be included. This package has been developed using the algorithm of Paul and Garai (2021) <doi:10.1007/s00500-021-06087-4>.
| Version: | 0.1.0 |
| Imports: | forecast, gtools, stats, utils |
| Published: | 2021-12-14 |
| DOI: | 10.32614/CRAN.package.TSANN |
| Author: | Md Yeasin [aut, cre], Ranjit Kumar Paul [aut], Dipro Sinha [aut] |
| Maintainer: | Md Yeasin <yeasin.iasri at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| In views: | TimeSeries |
| CRAN checks: | TSANN results |
| Reference manual: | TSANN.pdf |
| Package source: | TSANN_0.1.0.tar.gz |
| Windows binaries: | r-devel: TSANN_0.1.0.zip, r-release: TSANN_0.1.0.zip, r-oldrel: TSANN_0.1.0.zip |
| macOS binaries: | r-release (arm64): TSANN_0.1.0.tgz, r-oldrel (arm64): TSANN_0.1.0.tgz, r-release (x86_64): TSANN_0.1.0.tgz, r-oldrel (x86_64): TSANN_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=TSANN to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.