الفهرس 
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Abstract
National Network for Monitoring Radioactivity in Egypt was itablished since 1992. The main jobs of National Network for [onitoring Radioactivity in Egypt are measuring Gamma radiation levels ambient air in continues way (24 hours daily) and detecting any amma radiation level which its value is more than the allowed limits llue. Since the National Network for Monitoring Radioactivity in Egypt erated more than 18 years. A large database of Gamma Radiation
easurements accumulated for all stations since 1992 till now. Therefore is thesis uses this huge amount of the stored measurements to improve e system of the National Network for Monitoring Radioactivity in gypt by modifying extra advantage to it. This advantage is improving e performance of the National Network for Monitoring Radioactivity in gypt by forecasting gamma radiation levels. In this thesis two new )recasting models was created to verify this advantage. The operation Dst of these models is less expensive and faster than other famous 10de1s. The results from these models are good enough to depend on lem for prediction, recognizing the artificial or strange phenomena, Dvering lost or missing data and making a temporally monitoring system nd the results accuracy are nearly the same as the results which are otten from other famous models. These models can be used in many pplications such as continues monitoring systems, market forecast and flvironmental decision-making.