PREDICTION OF MONTHLY RAINFALL IN JORDAN VALLEY USING ARTIFICIAL NEURAL NETWORK

Artificial Neural Network (ANN) was applied to predict the long-term monthly rainfall for selected stations in Jordan valley. Meteorological data measured by Jordan meteorological department in the period between5791 and 5001 were used. Three neurons which receive input signals of total monthly rainfall for three stations were used in the input layer of the network. One neuron, which produces corresponding output signals of the total monthly rainfall, to one station, is utilized in the output layer of the network. Finally, the values determined by the artificial neural network model were compared with the actual data. Errors obtained in this model are well within acceptable limits.