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||2017-04-20 08:35:10 UTC|
|Maintainer||Greer B. Humphrey <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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