Forecasting revenue passenger enplanements using wavelet-support vector machine
Forecasting is an important element in an airline industry due to its capability in projecting airport activities that will reflect the relationship that drives aviation activities. A wavelet-support vector machine (WSVM) conjunction model for revenue passenger enplanements forecast is proposed in t...
محفوظ في:
المؤلف الرئيسي: | Zainuddin, Mohamad Aiman |
---|---|
التنسيق: | أطروحة |
اللغة: | English |
منشور في: |
2015
|
الموضوعات: | |
الوصول للمادة أونلاين: | http://eprints.utm.my/id/eprint/54631/1/MohamadAimanZainuddinMFS2015.pdf |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Combine holts winter and support vector machines in forecasting time series
بواسطة: Salisu, Alfa Mohammed
منشور في: (2013) -
Empirical mode decomposition with least square support vector machine model for river flow forecasting
بواسطة: Ismail, Shuhaida
منشور في: (2016) -
Time series forecasting of airline passenger no-shows using fir neural network
بواسطة: Muhammad Hussein, Muhammad Zaly Shah
منشور في: (2002) -
Combined forecast model involving wavelet-group methods of data handling for drought forecasting
بواسطة: Mohammed Salisu, Alfa
منشور في: (2021) -
An application of predicting student performance using kernel k-means and smooth support vector machine
بواسطة: Sajadin, Sembiring
منشور في: (2012)