Application of adaptive Neuro-fuzzy interference system, fuzzy interference system and least squares support vector machine for rapid simultaneous spectrophotometric determination of antipsychotic drugs in binary mixtures and biological fluid

Optik ◽  
2021 ◽  
Vol 232 ◽  
pp. 166569
Author(s):  
Mojdeh Alibakhshi ◽  
Mahmoud Reza Sohrabi ◽  
Mehran Davallo
2015 ◽  
Vol 22 (3) ◽  
pp. 341-350 ◽  
Author(s):  
Łukasz Lentka ◽  
Janusz M. Smulko ◽  
Radu Ionescu ◽  
Claes G. Granqvist ◽  
Laszlo B. Kish

Abstract This paper analyses the effectiveness of determining gas concentrations by using a prototype WO3 resistive gas sensor together with fluctuation enhanced sensing. We have earlier demonstrated that this method can determine the composition of a gas mixture by using only a single sensor. In the present study, we apply Least-Squares Support-Vector-Machine-based (LS-SVM-based) nonlinear regression to determine the gas concentration of each constituent in a mixture. We confirmed that the accuracy of the estimated gas concentration could be significantly improved by applying temperature change and ultraviolet irradiation of the WO3 layer. Fluctuation-enhanced sensing allowed us to predict the concentration of both component gases.


2014 ◽  
Vol 367 ◽  
pp. 188-193 ◽  
Author(s):  
Mehdi Sattari ◽  
Farhad Gharagheizi ◽  
Poorandokht Ilani-Kashkouli ◽  
Amir H. Mohammadi ◽  
Deresh Ramjugernath

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