validann: Validation Tools for Artificial Neural Networks

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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.

Author
Greer B. Humphrey [aut, cre]
Date of publication
2016-11-16 12:58:27
Maintainer
Greer B. Humphrey <greer.humphrey@student.adelaide.edu.au>
License
GPL (>= 2)
Version
1.2.0
URLs

View on CRAN

Man pages

ann
Fit Artificial Neural Networks.
ar9
Data generated by autoregressive AR9 model.
observed
Return observed target values.
plot.validann
Plot ANN validation results.
predict.ann
Predict new examples using a trained neural network.
validann
Validate Artificial Neural Networks.

Files in this package

validann
validann/inst
validann/inst/CITATION
validann/NAMESPACE
validann/data
validann/data/ar9.rdata
validann/R
validann/R/ar9.R
validann/R/plot.validann.R
validann/R/validann.R
validann/R/ann.R
validann/MD5
validann/DESCRIPTION
validann/man
validann/man/ar9.Rd
validann/man/plot.validann.Rd
validann/man/validann.Rd
validann/man/observed.Rd
validann/man/predict.ann.Rd
validann/man/ann.Rd