التنبؤ بكمية النفايات البلدية المتولدة وعوامل ادارتها في قطاعات مركز محافظة البصرة باستخدام الشبكات العصبية الاصطناعية : دراسة حالة الشركة الوطنية للتنظيف في البصرة لسنة 2016 == Forecasting the amount of municipal waste generation and management factors in Center of Basrah province sectors using artificial neural networks (Case study of the National Cleaning Company in Basrah for 2016
Author name:
حسين جبار بيوض المياحي
Supervisor name:
زهرة حسن عباس التميمي
General topic:
Administration and Economics
Specific topic:
Statistics
Degree:
Master
University:
University Of Basrah - Faculty Of Administration And Economics
Language:
Arabic
University location:
Basrah
First pages:
07T4818 - p.pdf
Abstract:
The study investigated the accumulation of municipal waste and its spread in the streets and alleys of the city of Basra and its residential neighborhoods, and the lack of estimates of the quantity and classification of waste. The study aimed at studying municipal waste through methods of collection and transport Methods of processing and preparation of forecasts for the municipal waste management variables represented by the number of workers, the number of mechanisms, the number of transfers and the weight of the single shift. This requires forecasting the quantity of municipal waste based on the generation factors of waste The results of the study showed that the waste forecasting model required one hidden layer, a number of different cells for each segment, and a model for predicting waste management factors. I needed two hidden layers and a number of different cells for each segment. The results also showed that the highest quantity of waste was in the Khalej sector and the lowest quantity of waste in the Qibla section.
