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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.4-18 |
rolling linux/jammy R-4.5 | RSNNS_0.4-18.tar.gz |
1.0 MiB |
0.4-18 |
rolling linux/noble R-4.5 | RSNNS_0.4-18.tar.gz |
1.0 MiB |
0.4-18 |
rolling source/ R- | RSNNS_0.4-18.tar.gz |
947.2 KiB |
0.4-18 |
latest linux/jammy R-4.5 | RSNNS_0.4-18.tar.gz |
1.0 MiB |
0.4-18 |
latest linux/noble R-4.5 | RSNNS_0.4-18.tar.gz |
1.0 MiB |
0.4-18 |
latest source/ R- | RSNNS_0.4-18.tar.gz |
947.2 KiB |
0.4-18 |
2026-04-26 source/ R- | RSNNS_0.4-18.tar.gz |
947.2 KiB |
0.4-18 |
2026-04-23 source/ R- | RSNNS_0.4-18.tar.gz |
947.2 KiB |
0.4-18 |
2026-04-09 windows/windows R-4.5 | RSNNS_0.4-18.zip |
1.4 MiB |
0.4-17 |
2025-04-20 source/ R- | RSNNS_0.4-17.tar.gz |
949.2 KiB |