Package: ANN2
Type: Package
Title: Artificial Neural Networks for Anomaly Detection
Version: 1.0
Date: 2017-10-07
Author: Bart Lammers
Maintainer: Bart Lammers <bart.f.lammers@gmail.com>
Description: 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) <doi:10.1007/3-540-46145-0_17>. 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.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: Rcpp (>= 0.12.12), robustbase (>= 0.92), stats (>= 3.3.2),
        graphics (>= 3.3.2)
LinkingTo: Rcpp, RcppArmadillo
Suggests: rgl, reshape2
RoxygenNote: 6.0.1
NeedsCompilation: yes
Packaged: 2017-10-12 07:32:22 UTC; Bart Lammers
Repository: CRAN
Date/Publication: 2017-10-14 15:11:32 UTC
