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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
Total downloads: 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.

Information Last Updated

Mar 25, 2025 at 16:18

License

GPL-2

Total Downloads

10