swMATH ID: 11829
Software Authors: Christoph Bergmeir; José M. Benítez
Description: RSNNS: Neural Networks in R 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.
Homepage: http://cran.r-project.org/web/packages/RSNNS/index.html
Source Code:  https://github.com/cran/RSNNS
Dependencies: R
Related Software: R; nnet; neuralnet; MASS (R); h2o; ggplot2; caret; Rcpp; keras; Matlab; UCI-ml; monmlp; fpp2; ggforce; forecast; lime; pdp; NeuralNetTools; NeuralSens; H2O
Cited in: 1 Publication

Cited by 2 Authors

1 Kim, Taeyoon
1 Park, Inho

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