To perform a Neural Network Regression analysis, we will use the neuralnet package. The neuralnet library is used to train neural networks using backpropagation, resilient backpropagation (RPROP) with or without weight backtracking, or the modified globally convergent version (GRPROP). The function allows flexible settings through custom-choice of error and activation function. Furthermore, the calculation of generalized weights is implemented. The following table lists some of the information on this package:
|
Package |
neuralnet |
|
Date |
August 16, 2016 |
|
Version |
1.33 |
|
Title |
Training of Neural Networks |
|
Authors |
Stefan Fritsch, Frauke Guenther, Marc Suling, Sebastian M. Mueller ... |
