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Reseach Article

Data Analysis of Photochemical Reactions using ANN

Published on July 2015 by Chetna Gomber, Sunita Parihar
National Conference on Intelligent Systems (NCIS 2014)
Foundation of Computer Science USA
NCIS2014 - Number 1
July 2015
Authors: Chetna Gomber, Sunita Parihar
4cf8c16c-bc17-45c3-81de-824b5c17eb22

Chetna Gomber, Sunita Parihar . Data Analysis of Photochemical Reactions using ANN. National Conference on Intelligent Systems (NCIS 2014). NCIS2014, 1 (July 2015), 40-43.

@article{
author = { Chetna Gomber, Sunita Parihar },
title = { Data Analysis of Photochemical Reactions using ANN },
journal = { National Conference on Intelligent Systems (NCIS 2014) },
issue_date = { July 2015 },
volume = { NCIS2014 },
number = { 1 },
month = { July },
year = { 2015 },
issn = 0975-8887,
pages = { 40-43 },
numpages = 4,
url = { /proceedings/ncis2014/number1/21882-3281/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Intelligent Systems (NCIS 2014)
%A Chetna Gomber
%A Sunita Parihar
%T Data Analysis of Photochemical Reactions using ANN
%J National Conference on Intelligent Systems (NCIS 2014)
%@ 0975-8887
%V NCIS2014
%N 1
%P 40-43
%D 2015
%I International Journal of Computer Applications
Abstract

Degradation of organic compounds using light energy is a kind of photochemical reactions. Large amount of data especially when multidimensional pose a difficulty in meaningful interpretation. Conventional methods are used to interpret data for such reactions. In recent times, various computational data analysis techniques like Artificial Neural Networks have been developed to solve the problems associated with a set of data. This paper examines analogies employed in computational data analysis technique and its comparison with conventional analytical technique for photochemical reaction under study.

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Index Terms

Computer Science
Information Sciences

Keywords

Photochemical Reactions Artificial Neural Networks Data Analysis Technique