Improved validation framework and R-package for artificial neural network models

Improved validation framework and R-package for artificial neural network models

Validation is a critical component of any modelling process. In artificial neural network (ANN) modelling, validation generally consists of the assessment of model predictive performance on an independent validation set (predictive validity). However, this ignores other aspects of model validation c...

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Bibliographic Details
Main Authors: Humphrey, Greer B., Maier, Holger R., Wu, Wenyan, Mount, Nick J., Dandy, Graeme C., Abrahart, R.J., Dawson, C.W.
Format: Article
Published: Elsevier 2017
Subjects:
Artificial neural networks; Multi-layer perceptron; R-package; Structural validation; Replicative validation; Predictive validation
Online Access:https://eprints.nottingham.ac.uk/40959/

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https://eprints.nottingham.ac.uk/40959/

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