AIRPORT PASSENGER DEMAND FORECASTING USING RADIAL BASIS FUNCTION NEURAL NETWORKS: JUANDA INTERNATIONAL AIRPORT CASE
Forecasting is a tool to determine not only whether a new terminal building and runways are required but also how big, how many and when they are required. However, forecasting often faulty because of uncertainties. Since then, addressing uncertainties becomes the greatest challenge in forecasting....
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | Theses and Dissertations NonPeerReviewed |
| منشور في: |
[Yogyakarta] : Universitas Gadjah Mada
2015
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://repository.ugm.ac.id/134761/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=77857 |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|