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RSNNS

Neural Networks in R using the Stuttgart Neural Network Simulator (SNNS)
Christoph Bergmeir and José M. Benítez
LGPL (>= 2)
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
Package Version Released
RSNNS 0.4-3 2 years 36 weeks ago
RSNNS 0.4-2 2 years 50 weeks ago
RSNNS 0.4-1 3 years 7 weeks ago
RSNNS 0.4-0 3 years 13 weeks ago
RSNNS 0.3-1 3 years 43 weeks ago
RSNNS 0.3 3 years 44 weeks ago
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