A new approch to estimate kerosene properties by artificial neural networks and crude oil properties
Publish Year: 1390
Type: Conference paper
Language: English
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Document National Code:
CMRCE03_256
Index date: 3 January 2012
A new approch to estimate kerosene properties by artificial neural networks and crude oil properties abstract
In this study, estimation of properties of kerosene from crude oil properties is considered. There is no model for this purpose. We use neural network simulation to correlate these properties. One hidden layer network is selected for this simulation and number of hidden layer is calculated by trial and error. The network with 4 hidden layers has the best agreement with experimental data.
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A new approch to estimate kerosene properties by artificial neural networks and crude oil properties authors
S Mousavian
Department of chemical engineering, Gachsaran branch, Islamic azad university,Gachsaran, Iran