Predicting Smoke Emission From Palm Oil Mill Using Artificial Neural Networks
Malaysia produces 50 % of the total quantity of palm oil produced in the world and this makes it the largest palm oil producer in the world. Palm oil is produced in palm oil mills, which have their captive steam power plants and these plants use palm oil waste (shell and fibre) as fuel for the boil...
Saved in:
Main Author: | Yusoff, Ahmad Razlan |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2002
|
Subjects: | |
Online Access: | http://eprints.usm.my/60756/1/Pages%20from%20Ahmad%20Razlan.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Development Of Maintenance Policy Selection (MPS) Model To Select The Optimal Maintenance Policy For A System In Palm Oil Mill
by: Ding , Siew Hong
Published: (2010) -
Prediction, classification and diagnosis of spur gear conditions using artificial neural network and acoustic emission
by: Ali, Yasir Hassan
Published: (2017) -
Experimental Characterization And Neural Network Prediction Of Dynamic Behavior Of Zta With Srco3 And Mgo
by: Arab, Ali
Published: (2016) -
A New Hybrid Optimization Method Using Design Of
Experiment Together With Artificial Neural Genetic
Algorithm
by: Yahaya, Nor Zaiazmin
Published: (2011) -
Development Of Position Feedback Sensor Based On Vision
Using Neural Network
by: Yunos, Yushazaziah Mohd
Published: (2009)