Publication
GEOGRAPHIC INFORMATION SYSTEMS AND ARTIFICIAL NEURAL NETWORKS COUPLING MODEL TO PREDICT MEAN YEARLY PRECIPITATION IN STUDY AREAS, CASE STUDY: DENA SUB BASIN, KOHGILOUYE PROVINCE, IRAN
(SGEM Scientific GeoConference, 2009, M. Ahmadi, S. Partani, M. Parsoon)
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One of the main purposes of GIS is to provide organization with increased information and analyzing spatial data. A GIS can become increasingly more valuable in prediction of quantitative or qualitative variables in no measured locations when coupled to Artificial Intelligence (AI). ANN is one of the AI fields that is a highly simplified model for the biological structure of a human brain. An ANN when linked to GIS, can be useful for evaluating, monitoring, decision making and of course predicting. In this study, ...
Hydrology and Water Resources2009