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Proceedings Paper

Brix percentage estimation using artificial intelligence approaches
Author(s): Quang Thai Pham; Tien Dat Pham
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Paper Abstract

In this paper, a measurement system using absorption spectroscopy was designed and realized. Using alternative measurement method, the system could perform with minimum calibration requirement. Features of sucrose solutions with Brix percentage from 12 oBrix to 16 oBrix were measured and extracted. Moreover, three artificial intelligent methods, namely artificial neural networks, artificial neural networks with principal component analysis, and genetic algorithm, were applied to predict unknown concentrations. The key difference between methods was the assumption on residual error’s statistical characteristics. Experimental results showed that the correlation and collinearity in structure of measured data were essential for higher prediction accuracy in artificial intelligent methods. In our experiments, genetic algorithm provided the most accurate predictions.

Paper Details

Date Published: 11 March 2020
PDF: 9 pages
Proc. SPIE 11331, Fourth International Conference on Photonics Solutions (ICPS2019), 113310I (11 March 2020); doi: 10.1117/12.2552892
Show Author Affiliations
Quang Thai Pham, Ho Chi Minh City Univ. of Technology (Viet Nam)
Tien Dat Pham, National Institute of Information and Communications Technology (Japan)


Published in SPIE Proceedings Vol. 11331:
Fourth International Conference on Photonics Solutions (ICPS2019)
Tetsuya Kawanishi; Surachet Kanprachar; Waranont Anukool; Ukrit Mankong, Editor(s)

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