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.
- Version1.44.2
- R version≥ 2.9.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release02/07/2019
Documentation
Team
Marvin N. Wright
Stefan Fritsch
Show author detailsRolesAuthorFrauke Guenther
Show author detailsRolesAuthorMarc Suling
Show author detailsRolesContributorSebastian M. Mueller
Show author detailsRolesContributor
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- Depends1 package
- Imports6 packages
- Suggests1 package
- Reverse Depends2 packages
- Reverse Imports17 packages
- Reverse Suggests11 packages
- Reverse Enhances1 package