RSNNS 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 Cited in 1 Serial 1 Journal of the Korean Statistical Society Cited in 1 Field 1 Computer science (68-XX) Citations by Year