Bayesian and fuzzy kriging interpolation techniques for spatial estimation in mining field
The focus of this research is in the area of spatial estimation. Such a study is very important in order to improve the spatial prediction performance. Many techniques of prediction that are based on the regionalized variables, and the surface trend change from linear to quadratic or cubic that prod...
Saved in:
Main Author: | Dhaher, Ghanim Mhmood |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2014
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/78037/1/GhanimMhmoodDhaherPFS2014.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Spatial interpolation on rainfall data over Peninsular Malaysia using ordinary kriging
by: Suhaimi, Nor Hanisah
Published: (2012) -
Extended Runge-Kutta fourth order method with polynomial interpolation technique for fuzzy population models
by: Zulkefli, Nor Atirah Izzah
Published: (2019) -
Data mining in network traffic using fuzzy clustering
by: Mohamad, Shamsul
Published: (2003) -
Data mining in network traffic using fuzzy clustering
by: Mohamad, Shamsul
Published: (2003) -
Bezier Curve Interpolation On Road
Design
by: Saffie, Mohd Syakir
Published: (2019)