Artificial neural network based predictive method for flood disaster
Computers and Industrial Engineering - 26th International conference on computers and industrial engineering
An application of artificial neural networks for rainfall forecasting
Mathematical and Computer Modelling: An International Journal
Using adaptive neuro-fuzzy inference system for hydrological time series prediction
Applied Soft Computing
Evolving neural network using real coded genetic algorithm for daily rainfall-runoff forecasting
Expert Systems with Applications: An International Journal
Advances in Engineering Software
Prediction of accumulated temperature in vegetation period using artificial neural network
Mathematical and Computer Modelling: An International Journal
Modelling of the canopy conductance of potted cherry trees based on an artificial neural network
Mathematical and Computer Modelling: An International Journal
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The use of artificial neural networks (ANNs) is becoming increasingly common in the analysis of hydrology and water resources problems. In this research, an ANN was developed and used to model the rainfall-runoff relationship, in a catchment located in a semiarid climate in Morocco. The multilayer perceptron (MLP) neural network was chosen for use in the current study. The results and comparative study indicate that the artificial neural network method is more suitable to predict river runoff than classical regression model.