ANN2 (1.0)

Artificial Neural Networks for Anomaly Detection.

http://cran.r-project.org/web/packages/ANN2

Training of general classification and regression neural networks using gradient descent. Special features include a function for training autoencoders as well as an implementation of replicator neural networks, for details see Hawkins et al. (2012) . Multiple activation and cost functions (including Huber and pseudo-Huber) are included, as well as L1 and L2 regularization, momentum, early stopping and the possibility to specify a learning rate schedule. The package contains a vectorized gradient descent implementation which facilitates faster training through batch learning.

Maintainer: Bart Lammers
Author(s): Bart Lammers

License: GPL (>= 3)

Uses: Rcpp, robustbase, rgl, reshape2

Released over 2 years ago.