An Analysis Of Computational Learning Models For Quit Rent Revenue Estimation
Quit rent is a major income for states in Malaysia. Hence, quit rent revenue projection is a crucial component for yearly state budget presentation to ensure the sustainable physical and development in the particular state, as well as throughout the whole country. Identifying predictors is essential...
Saved in:
Main Author: | Hamdan, Muhamad Hamiza |
---|---|
Format: | Thesis |
Language: | English English |
Published: |
2017
|
Subjects: | |
Online Access: | http://eprints.utem.edu.my/id/eprint/20747/1/An%20Analysis%20Of%20Computational%20Learning%20Models%20For%20Quit%20Rent%20Revenue%20Estimation%20-%20Muhamad%20Hamiza%20Hamdan%20-%2024%20Pages.pdf http://eprints.utem.edu.my/id/eprint/20747/2/An%20Effect%20Of%20Surface%20Roughness%20To%20Colour%20Sensor%20Detection%20Range%20In%20Ambient%20Temperature.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Sources of quit rent arrears
by: Al Fahmey Abdul Rahim, Mohammad Yussuf
Published: (2010) -
Classification of Capital Expenditures and Revenue Expenditures Using Neural Network Model
by: Abolgasim, Adnan Ali
Published: (2008) -
Analysis performance of database programming for computation in statistical application
by: Abdul Rahid @ Abdul Rashid, Nurul Najwa
Published: (2015) -
Estimation technique for software project planning
by: Periasamy, Sobah
Published: (2010) -
Towards Forecasting Revenue Collection Using Multi Layer Perceptron (MLP)
by: Mohd Afandi, Md Amin
Published: (2004)