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Proceedings of the First International Workshop on Artificial Neural Networks: Data Preparation Techniques and Application Development
Flood forecasting is an essential requirement for solving a wide range of scientific and/or management problems. Neural networks have become attractive models in many practical applications, including flood forecasting. In this paper, 4 similar catchments in Iran, with high quality rainfall-runoff records, were studied. An artificial neural network (ANN) was built and trained as an event-based modeling tool utilizing data from only 2 of the catchments. The flood forecasting ability of the modeldoi:10.5220/0001148800090015 fatcat:etqxympqvreb5deyaklcengfmq