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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.
Package Version Released
RSNNS 0.4-3 4 years 28 weeks ago
RSNNS 0.4-2 4 years 42 weeks ago
RSNNS 0.4-1 4 years 52 weeks ago
RSNNS 0.4-0 5 years 5 weeks ago
RSNNS 0.3-1 5 years 36 weeks ago
RSNNS 0.3 5 years 36 weeks ago
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