Validation Tools for Artificial Neural Networks

Methods and tools for analysing and validating the outputs and modelled functions of artificial neural networks (ANNs) in terms of predictive, replicative and structural validity. Also provides a method for fitting feed-forward ANNs with a single hidden layer.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.2.1 by Greer B. Humphrey, 4 years ago

Report a bug at

Browse source code at

Authors: Greer B. Humphrey [aut, cre]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports moments

Suggests nnet, knitr, rmarkdown

Suggested by NNbenchmark.

See at CRAN