ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection
This paper presents a modeling approach based on the use of fuzzy reasoning mechanism to define a measured data set obtained from an optical sensing circuit. For this purpose, we implemented a simple but effective an in vitro optical sensor to measure glucose content of an aqueous solution. Measur...
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Stefan cel Mare University of Suceava
2016-08-01
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Online Access: | http://dx.doi.org/10.4316/AECE.2016.03006 |
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doaj-847bca9faf0e4c979cf7aa750b383b682021-09-04T14:43:50ZengStefan cel Mare University of SuceavaAdvances in Electrical and Computer Engineering1582-74451844-76002016-08-01163374210.4316/AECE.2016.03006ABC Algorithm based Fuzzy Modeling of Optical Glucose DetectionSARACOGLU, O. G.BAGIS, A.KONAR, M.TABARU, T. E.This paper presents a modeling approach based on the use of fuzzy reasoning mechanism to define a measured data set obtained from an optical sensing circuit. For this purpose, we implemented a simple but effective an in vitro optical sensor to measure glucose content of an aqueous solution. Measured data contain analog voltages representing the absorbance values of three wavelengths measured from an RGB LED in different glucose concentrations. To achieve a desired model performance, the parameters of the fuzzy models are optimized by using the artificial bee colony (ABC) algorithm. The modeling results presented in this paper indicate that the fuzzy model optimized by the algorithm provide a successful modeling performance having the minimum mean squared error (MSE) of 0.0013 which are in clearly good agreement with the measurements.http://dx.doi.org/10.4316/AECE.2016.03006fuzzy systemsheuristic algorithmsevolutionary computationoptical sensorscomputational modeling |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
SARACOGLU, O. G. BAGIS, A. KONAR, M. TABARU, T. E. |
spellingShingle |
SARACOGLU, O. G. BAGIS, A. KONAR, M. TABARU, T. E. ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection Advances in Electrical and Computer Engineering fuzzy systems heuristic algorithms evolutionary computation optical sensors computational modeling |
author_facet |
SARACOGLU, O. G. BAGIS, A. KONAR, M. TABARU, T. E. |
author_sort |
SARACOGLU, O. G. |
title |
ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection |
title_short |
ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection |
title_full |
ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection |
title_fullStr |
ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection |
title_full_unstemmed |
ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection |
title_sort |
abc algorithm based fuzzy modeling of optical glucose detection |
publisher |
Stefan cel Mare University of Suceava |
series |
Advances in Electrical and Computer Engineering |
issn |
1582-7445 1844-7600 |
publishDate |
2016-08-01 |
description |
This paper presents a modeling approach based on the use of fuzzy reasoning mechanism to define a measured
data set obtained from an optical sensing circuit. For this purpose, we implemented a simple but effective
an in vitro optical sensor to measure glucose content of an aqueous solution. Measured data contain analog
voltages representing the absorbance values of three wavelengths measured from an RGB LED in different
glucose concentrations. To achieve a desired model performance, the parameters of the fuzzy models are
optimized by using the artificial bee colony (ABC) algorithm. The modeling results presented in this
paper indicate that the fuzzy model optimized by the algorithm provide a successful modeling performance
having the minimum mean squared error (MSE) of 0.0013 which are in clearly good agreement with the
measurements. |
topic |
fuzzy systems heuristic algorithms evolutionary computation optical sensors computational modeling |
url |
http://dx.doi.org/10.4316/AECE.2016.03006 |
work_keys_str_mv |
AT saracogluog abcalgorithmbasedfuzzymodelingofopticalglucosedetection AT bagisa abcalgorithmbasedfuzzymodelingofopticalglucosedetection AT konarm abcalgorithmbasedfuzzymodelingofopticalglucosedetection AT tabarute abcalgorithmbasedfuzzymodelingofopticalglucosedetection |
_version_ |
1717815115218157568 |