Neural Networks and M5 model trees in modeling water level-discharge relationship for an Indian river

: In flood management it is important to reliably estimate the discharge in a river. Hydrologists use historic data to establish a rating curve – a relationship between the water level (stage) and discharge. ANN and M5 model trees were used to reconstruct this relationship on an example of an Indian river. The predictive accuracy of these machine learning methods models was found to be superior to a conventional rating curve.

• Type: Conference
• Year: 2003
• Where: ESANN
• Authors: Biswanath Bhattacharya, Dimitri P. Solomatine
• Keywords: Conventional Rating Curve, ESANN 2003, ESANN 2007, Machine Learning Methods, Rating Curve