Improved validation framework and R-package for artificial neural network models
(2017)
Journal Article
Humphrey, G. B., Maier, H. R., Wu, W., Mount, N. J., Dandy, G. C., Abrahart, R., & Dawson, C. (2017). Improved validation framework and R-package for artificial neural network models. Environmental Modelling and Software, 92, https://doi.org/10.1016/j.envsoft.2017.01.023
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... Read More about Improved validation framework and R-package for artificial neural network models.