This paper describes an application of SVM over the Bird Creek catchment and addresses
some important issues in developing and applying SVM in flood forecasting. It has been …

This paper describes an exploration in using SVM (Support Vector Machine) models, which
were initially developed in the Machine Learning community, in flood forecasting, with the …

Although artificial neural networks (ANNs) have been applied in rainfall runoff modelling for
many years, there are still many important issues unsolved that have prevented this powerful …

A modern real time flood forecasting system requires itsmathematical model (s) to handle
highly complex rainfall runoffprocesses. Uncertainty in real time flood forecasting willinvolve …

This paper describes the attempt of using Fuzzy Logic approach for river flow modelling from
rainfall data. Firstly, both rainfall and stream flow are converted into representing fuzzy sets …