A comparison of methods to avoid overfitting in neural networks training in the case of catchment runoff modelling
Author:
Publisher
Elsevier BV
Subject
Water Science and Technology
Reference88 articles.
1. A neurocomputing approach to predict monsoon rainfall in monthly scale using SST anomaly as a predictor;Acharya;Acta Geophys.,2012
2. Comparison of multivariate regression and artificial neural networks for peak urban water-demand forecasting: evaluation of different ANN learning algorithms;Adamowski;J. Hydrol. Eng.,2010
3. Interpretation of spontaneous potential anomalies from some simple geometrically shaped bodies using neural network inversion;Al-Garni;Acta Geophys.,2010
4. Asymptotic statistical theory of overfitting and cross-validation;Amari;IEEE Trans. Neural Networks,1997
5. The effect of adding noise during backpropagation training on a generalization performance;An;Neural Comput.,1996
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