RSNNS
Neural Networks using the Stuttgart Neural Network Simulator (SNNS)
The Stuttgart Neural Network Simulator (SNNS) is a library containing many standard implementations of neural networks. This package wraps the SNNS functionality to make it available from within R. Using the 'RSNNS' low-level interface, all of the algorithmic functionality and flexibility of SNNS can be accessed. Furthermore, the package contains a convenient high-level interface, so that the most common neural network topologies and learning algorithms integrate seamlessly into R.
- Version0.4-17
- R version≥ 2.10.0 methods,
- LicenseLGPL-2
- LicenseLGPL-2.1
- LicenseLGPL-3
- LicenseLICENSE
- Needs compilation?Yes
- RSNNS citation info
- Last release11/30/2023
Documentation
Team
Christoph Bergmeir
Michael Vogt
Show author detailsRolesContributorJosé M. Benítez
Show author detailsRolesThesis advisorAndreas Zell
Show author detailsRolesContributorNiels Mache
Show author detailsRolesContributorGünter Mamier
Show author detailsRolesContributorSven Döring
Show author detailsRolesContributorRalf Hübner
Show author detailsRolesContributorKai-Uwe Herrmann
Show author detailsRolesContributorTobias Soyez
Show author detailsRolesContributorMichael Schmalzl
Show author detailsRolesContributorTilman Sommer
Show author detailsRolesContributorArtemis Hatzigeorgiou
Show author detailsRolesContributorDietmar Posselt
Show author detailsRolesContributorTobias Schreiner
Show author detailsRolesContributorBernward Kett
Show author detailsRolesContributorMartin Reczko
Show author detailsRolesContributorMartin Riedmiller
Show author detailsRolesContributorMark Seemann
Show author detailsRolesContributorMarcus Ritt
Show author detailsRolesContributorJamie DeCoster
Show author detailsRolesContributorJochen Biedermann
Show author detailsRolesContributorJoachim Danz
Show author detailsRolesContributorChristian Wehrfritz
Show author detailsRolesContributorPatrick Kursawe
Show author detailsRolesContributorAndre El-Ama
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 2,573 times in the last 30 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 64 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 33,004 times in the last 365 days. The academic equivalent of having a dedicated subreddit. There are fans, and maybe even a few trolls! The day with the most downloads was Dec 25, 2024 with 341 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
Binaries
Dependencies
- Depends1 package
- Suggests2 packages
- Linking To1 package
- Reverse Imports5 packages
- Reverse Suggests5 packages
- Reverse Enhances1 package