A new method based on adaptive neuro-fuzzy inference system for determination of acid molarity using Compton scattered photons
- Authors: Jahanbakhsh O.1, Ashrafi S.1, Alizadeh D.1
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Affiliations:
- Faculty of Physics
- Issue: Vol 60, No 3 (2017)
- Pages: 444-449
- Section: Laboratory Techniques
- URL: https://bakhtiniada.ru/0020-4412/article/view/159800
- DOI: https://doi.org/10.1134/S0020441217030083
- ID: 159800
Cite item
Abstract
The simplicity and accuracy in determining the exact concentration of a particular substance in a solution, is one of the major issues in industrial chemistry. In this paper, we introduce a new technique based on Compton scattering of gamma photons and artificial intelligence to determine the concentration of a solute in a solution. We used a 137Cs gamma ray source with few millicurie activity and a NaI(Tl) scintillator detector to determine the acid sulfuric molarity. We also applied Adaptive Neuro-Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN) as artificial intelligence techniques to estimate the molarity of the samples. Monte Carlo simulations also support the present experimental results. The results of the proposed methods are in excellent agreement with the measured molarities.
About the authors
Okhtay Jahanbakhsh
Faculty of Physics
Author for correspondence.
Email: o.jahanbakhsh@tabrizu.ac.ir
Iran, Islamic Republic of, Tabriz, 51666-16471
Saleh Ashrafi
Faculty of Physics
Email: o.jahanbakhsh@tabrizu.ac.ir
Iran, Islamic Republic of, Tabriz, 51666-16471
Davood Alizadeh
Faculty of Physics
Email: o.jahanbakhsh@tabrizu.ac.ir
Iran, Islamic Republic of, Tabriz, 51666-16471
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