Performance Evaluation of Artificial Neural Networks for Runoff Prediction

By Amin Elshorbagy, Slobodan P. Simonovic, U. Panu. 2000

117 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/f55f8b150d541d6a2bc1f622b89688f43f7b592f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Linda M. See
2. C. Dawson
3. Robert J. Abrahart

In Environmental Engineering

1. Linda M. See
2. C. Dawson
3. Robert J. Abrahart
4. Ravinesh C. Deo

In Water Science and Technology

1. Linda M. See
2. C. Dawson
3. Robert J. Abrahart
4. Ravinesh C. Deo

Citations in the corpus

• HydroTest: A web-based toolbox of evaluation metrics for the standardised assessment of hydrological forecasts (2007, methodology): “Mean Absolute Relative Error is sometimes shortened to Mean Relative Error; Karunanithi et al., 1994; Elshorbagy et al., 2000; Teegavarapu and Elshorbagy, 2005), or, in reverse, using identical labels to represent different metrics (e.g. Normalised Root Mean Squared Error is being calculated in a…”