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Fatty Acid Composition of Some Seed Oils from Arid Zone of Rajasthan and their Iodine Values for Scope in Biodiesel Production using ANN Technique

Published on July 2015 by Akleshwar Mathur, Gaur Sanjay B.c.
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National Conference on Intelligent Systems (NCIS 2014)
Foundation of Computer Science USA
NCIS2014 - Number 1
July 2015
Authors: Akleshwar Mathur, Gaur Sanjay B.c.
5d5c98ab-26d4-486f-905b-40a42001bbac

Akleshwar Mathur, Gaur Sanjay B.c. . Fatty Acid Composition of Some Seed Oils from Arid Zone of Rajasthan and their Iodine Values for Scope in Biodiesel Production using ANN Technique. National Conference on Intelligent Systems (NCIS 2014). NCIS2014, 1 (July 2015), 4-8.

@article{
author = { Akleshwar Mathur, Gaur Sanjay B.c. },
title = { Fatty Acid Composition of Some Seed Oils from Arid Zone of Rajasthan and their Iodine Values for Scope in Biodiesel Production using ANN Technique },
journal = { National Conference on Intelligent Systems (NCIS 2014) },
issue_date = { July 2015 },
volume = { NCIS2014 },
number = { 1 },
month = { July },
year = { 2015 },
issn = 0975-8887,
pages = { 4-8 },
numpages = 5,
url = { /proceedings/ncis2014/number1/21875-3269/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Intelligent Systems (NCIS 2014)
%A Akleshwar Mathur
%A Gaur Sanjay B.c.
%T Fatty Acid Composition of Some Seed Oils from Arid Zone of Rajasthan and their Iodine Values for Scope in Biodiesel Production using ANN Technique
%J National Conference on Intelligent Systems (NCIS 2014)
%@ 0975-8887
%V NCIS2014
%N 1
%P 4-8
%D 2015
%I International Journal of Computer Applications
Abstract

The Arid Zone of Rajasthan is a vast reservoir of desert plants. The seed oil is an important product obtained from the wild plants. The fatty acid composition of seed oil is a key point to determine the application of oil in a specific field. The properties of seed oils of eight plants from Arid zone of Rajasthan like fatty acid composition, saponification value, iodine value, viscosity, flash point, fire point, cloud point and pour point were determined by usual analytical methods. The Artificial Neural Network was applied to predict the relative significance of fatty acid composition of vegetable oil affecting the biodiesel properties. Iodine value predicted from ANN was found to be nearly the same as determined by analytical methods. It was concluded that the results predicted from ANNs were more precise as compared to the linear regression model. The effects of input variables show quantitative effect on seed oil properties.

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Index Terms

Computer Science
Information Sciences

Keywords

Seed Oil Bio Diesel Fatty Acid Composition Iodine Value Ann.