EXPLOITATION OF WATER RESOURCES OF THE OPOLE PROVINCE - FORECASTING WITH THE USE OF ARTIFICIAL NEURAL NETWORKS

The paper performs forecasting based on Flexible Bayesian Models on Neural Networks. On the basis of changing factors like number of population and industrial water consumption the amount of underground and surface water resources was predicted. The prognosis was performed for the Opole province and for its for individual districts. Teaching series were real data taken from the Central Statistical Office. The likelihood of these results is 94% by checking the verification data.