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.
|Author||Christoph Bergmeir and José M. Benítez|
|Date of publication||2016-12-16 08:33:39|
|Maintainer||Christoph Bergmeir <email@example.com>|
|License||LGPL (>= 2) | file LICENSE|
|Package repository||View on CRAN|
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