TSANN
Time Series Artificial Neural Network
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.
- Version0.1.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release12/14/2021
Documentation
Team
Md Yeasin
Dipro Sinha
Show author detailsRolesAuthorRanjit Kumar Paul
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 264 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 11 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,926 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Apr 12, 2025 with 31 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
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Dependencies
- Imports2 packages