Title
Emission control in palm oil mills using artificial neural network and genetic algorithm
Abstract
The present study utilized a combination of artificial neural network (ANN) and genetic algorithms (GA) to optimize the release of emission from the palm oil mill. A model based on ANN is developed from the actual data taken from the palm oil mill. The predicted data agree well with the actual data taken. GA is then employed to find the optimal operating conditions so that the overlimit release of emission is reduced to the allowable limit.
Year
DOI
Venue
2004
10.1016/j.compchemeng.2004.07.034
Computers & Chemical Engineering
Keywords
Field
DocType
Emission control,Neural networks,Optimization,Genetic algorithms
Mill,Mathematical optimization,Artificial intelligence,Artificial neural network,Genetic algorithm,Mathematics,Palm oil
Journal
Volume
Issue
ISSN
28
12
0098-1354
Citations 
PageRank 
References 
5
0.50
0
Authors
4
Name
Order
Citations
PageRank
A.L. Ahmad192.00
I.A. Azid250.50
A.R. Yusof350.50
K.N. Seetharamu450.84