عملية الإختيار كانت من أصعب المراحل

عملية الإختيار كانت من أصعب المراحل , لكن بعد التعمق بكيفية تجمع البيانات , أصبح من الأسهل تحديد شكل ALFA , لكن ذلك ليس كافي في بداية الأمر , من ثم بعد النظر بعدد المدن ( النقاط ) المستخدمة بأبحاث مشابها , فإنه لابد من تكرار العملية على أكثر من عدد معين من المدن , و للحصول على دقة عالية بالنتائج تم تكرار كل عملية 1000 مرة و حساب الوسط الحسابي لها لكل فئة من المدن , لن نغفل الزمن الطويل اللازم لإستخراج النتائج , و الذي يقاس بالساعات بل الأيام , و لحساب النتائج لعدد أكبر من المدن فإنه يلزم جهاز حاسوب خارق .

Results (English) 1:

The selection process was one of the most difficult stages, but after further how to collect data, it became easier to shape ALFA, but that is not enough at first, then after looking at a number of cities (dots) used similar research, it must repeat the process more than a certain number of cities, and to obtain high accuracy results been repeating each 1000 times and calculate the arithmetic mean for each category of cities , Long time required to overlook will extract results, and measured in hours or even days, and to calculate results for a larger number of cities it takes a super computer.

Results (English) 2:

The selection process was one of the most difficult stages, but after the depth of how data are collected, it became easier to identify ALFA form, but that is not enough in the beginning, then after considering a number of cities (points) used for research similar, it is necessary to repeat the process more than a certain number of cities, and to obtain high accuracy results was repeated every process 1000 times and the arithmetic mean her each class of cities account, you will not lose sight of the long time required for the extraction of the results, which is measured in hours and even days, and to calculate the results largest cities for the number it necessary computer supernatural.

Results (English) 3:

The selection process was the most difficult stage, but after the depth of how to collect data, is easier to identify ALFA form, but it is not enough to start it. Then, after considering the number of cities (points) used a similar research, it must repeat the process over a number of cities, and to get high precision results were repeated 1000 times and each calculate the arithmetic mean for each of the cities, will not lose sight of the long time required for the extraction of results and that is measured. In hours and even days, and the calculating results to larger cities, it is necessary to super computers.