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.


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Reference manual

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install.packages("validann")

1.2.1 by Greer B. Humphrey, 2 years ago


http://github.com/gbhumphrey1/validann


Report a bug at http://github.com/gbhumphrey1/validann/issues


Browse source code at https://github.com/cran/validann


Authors: Greer B. Humphrey [aut, cre]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports moments

Suggests nnet, knitr, rmarkdown


See at CRAN