Package: neuralnet 1.44.6
Marvin N. Wright
neuralnet: Training of Neural Networks
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.
Authors:
neuralnet_1.44.6.tar.gz
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neuralnet.pdf |neuralnet.html✨
neuralnet/json (API)
NEWS
| # Install 'neuralnet' in R: |
| install.packages('neuralnet', repos = c('https://bips-hb.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bips-hb/neuralnet/issues
Last updated 5 years agofrom:09815356b9. Checks:9 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 21 2025 |
| R-4.5-win | OK | Mar 21 2025 |
| R-4.5-mac | OK | Mar 21 2025 |
| R-4.5-linux | OK | Mar 21 2025 |
| R-4.4-win | OK | Mar 21 2025 |
| R-4.4-mac | OK | Mar 21 2025 |
| R-4.4-linux | OK | Mar 21 2025 |
| R-4.3-win | OK | Mar 21 2025 |
| R-4.3-mac | OK | Mar 21 2025 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Training of Neural Networks | neuralnet-package |
| Deprecated function | compute |
| Calculates confidence intervals of the weights | confidence.interval |
| Plot method for generalized weights | gwplot |
| Training of neural networks | neuralnet print.nn |
| Plot method for neural networks | plot.nn |
| Neural network prediction | predict.nn |
| Summarizes the output of the neural network, the data and the fitted values of glm objects (if available) | prediction |
