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Intelligent Neural Network Sensory System for the Analysis of Volatile Compounds in Beverages

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Advances in Intelligent Systems and Computing V (CSIT 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1293))

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Abstract

An automated system for measuring the content of aromatic aldehydes in alcohol solutions has been developed. The main advantages of neural networks are compared with other mathematical methods, such as noise sustainability and the possibility of distributed data processing, the ability to process spectral dependencies in a wide range of measurements. An artificial neural network was created to process the output signals of the sensors, taking into account mutual cross-sensitivity and selective sensors to reduce the error of determining the concentration of volatile compounds. It has been shown that simple sensors can be integrated into an automated quality monitoring system for model vanillin mixtures. Simulation models were developed using sensors based on the electronic theory of sorption on the surface of semiconductors. The measuring complex can be adjusted to different measurement algorithms.

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Authors and Affiliations

  1. Lviv Polytechnic National University, Bandera Str, 12, Lviv, 79013, Ukraine

    Taras Chaikivskyi

  2. Taras Shevchenko National University of Kyiv, Volodymirskaya Str., 64, Kyiv, 01033, Ukraine

    Bohdan Sus, Oleksandr Bauzha & Sergiy Zagorodnyuk

Authors
  1. Taras Chaikivskyi
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  2. Bohdan Sus
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  3. Oleksandr Bauzha
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  4. Sergiy Zagorodnyuk
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Corresponding authors

Correspondence to Taras Chaikivskyi , Bohdan Sus , Oleksandr Bauzha or Sergiy Zagorodnyuk .

Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Lviv Polytechnic National University, Lviv, Ukraine

    Natalya Shakhovska

  2. Institute of Computer Science and Information Technologies, Lviv Polytechnic National University, Lviv, Ukraine

    Mykola O. Medykovskyy

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Chaikivskyi, T., Sus, B., Bauzha, O., Zagorodnyuk, S. (2021). Intelligent Neural Network Sensory System for the Analysis of Volatile Compounds in Beverages. In: Shakhovska, N., Medykovskyy, M.O. (eds) Advances in Intelligent Systems and Computing V. CSIT 2020. Advances in Intelligent Systems and Computing, vol 1293. Springer, Cham. https://doi.org/10.1007/978-3-030-63270-0_6

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