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Application of Artificial Neural Network for Standardization of Digital Colorimeter

Published on March 2012 by R. D. Khonde, S. L. Pandharipande
journal_cover_thumbnail

International Conference in Computational Intelligence
Foundation of Computer Science USA
ICCIA - Number 5
March 2012
Authors: R. D. Khonde, S. L. Pandharipande
3ab55cac-cd37-4875-8235-f767b4bdfb49

R. D. Khonde, S. L. Pandharipande . Application of Artificial Neural Network for Standardization of Digital Colorimeter. International Conference in Computational Intelligence. ICCIA, 5 (March 2012), 31-35.

@article{
author = { R. D. Khonde, S. L. Pandharipande },
title = { Application of Artificial Neural Network for Standardization of Digital Colorimeter },
journal = { International Conference in Computational Intelligence },
issue_date = { March 2012 },
volume = { ICCIA },
number = { 5 },
month = { March },
year = { 2012 },
issn = 0975-8887,
pages = { 31-35 },
numpages = 5,
url = { /proceedings/iccia/number5/5126-1038/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference in Computational Intelligence
%A R. D. Khonde
%A S. L. Pandharipande
%T Application of Artificial Neural Network for Standardization of Digital Colorimeter
%J International Conference in Computational Intelligence
%@ 0975-8887
%V ICCIA
%N 5
%P 31-35
%D 2012
%I International Journal of Computer Applications
Abstract

Digital Colorimeter is used to estimate concentration of dye solutions of the given samples. This method of analysis is time consuming process and hence further repetitive analysis of samples can be eliminated by developing a model using artificial neural network (ANN), which correlates the concentration of dyes in the aqueous solutions with its Colorimeter readings. The present paper deals with a novel technique of standardization of a digital instrument using ANN for various synthetically prepared aqueous dyes solutions. The artificial neural network architecture is initialized through its training and the parameters of the neural network are adjusted to minimize the difference between the simulated and the measured values. Simulation and experimental studies illustrate the potential of the proposed method of using artificial neural network for standardization of digital Colorimeter.

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Index Terms

Computer Science
Information Sciences

Keywords

Digital Colorimeter artificial neural network standardization simulation dyes