MLP R implementation using RSNNS
The package RSNNS is taken from CRAN for this example of mlp() model build. The SNNS is a library written in C++ and contains many standard implementations of neural networks. This RSNNS package wraps the SNNS functionality to make it available from within R. Using the RSNNS low-level interface, all the algorithmic functionality and flexibility of SNNS can be accessed. The package contains a high-level interface for most commonly used neural network topologies and learning algorithms, which integrate seamlessly into R. A brief description of the RSNNS package, extracted from the official documentation, is shown in the following table:
RSNNS package |
Description: |
The 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 |
