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r-neuralnet

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Training of neural networks using backpropagation, resilient backpropagation with (Riedmiller, 1994) or without weight backtracking (Riedmiller and Braun, 1993) or the modified globally convergent version by Anastasiadis et al. (2005). The package allows flexible settings through custom-choice of error and activation function. Furthermore, the calculation of generalized weights (Intrator O & Intrator N, 1993) is implemented.

Installation

To install this package, run one of the following:

Conda
$conda install f30a78ec8::r-neuralnet

Usage Tracking

1.44.2
1 / 8 versions selected
Downloads (Last 6 months): 0

About

Summary

Training of neural networks using backpropagation, resilient backpropagation with (Riedmiller, 1994) or without weight backtracking (Riedmiller and Braun, 1993) or the modified globally convergent version by Anastasiadis et al. (2005). The package allows flexible settings through custom-choice of error and activation function. Furthermore, the calculation of generalized weights (Intrator O & Intrator N, 1993) is implemented.

Last Updated

Dec 29, 2019 at 05:02

License

GPL-2

Total Downloads

10

Version Downloads

10