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Journal Neurocomputers №3 for 2024 г.
Article in number:
Program comlex SciLab as a tool for teaching the use of artificial neural networks for processing the results of a chemical experiment
Type of article: scientific article
DOI: https://doi.org/10.18127/j19998554-202403-07
UDC: 004.93
Authors:

A.S. Kuznetsov1, E.V. Burlyaeva2

1,2 RGSU – Russian State Social University (Moscow, Russia)

1,2 MIREA – Russian Technological University (Moscow, Russia)

1 as_kuznetsov@list.ru, 2 burlyaeva@mirea.ru

Abstract:

Formulation of the problem. For undergraduates studying in areas related to chemistry and chemical technology, the need to study modern machine learning methods for processing experimental results is justified. It is proposed to use the SciLab software package for studying learning methods and using artificial neural networks.

Goal. Training in working with artificial neural networks and the use of modern software based on the freely distributed SciLab complex for solving problems of intellectual analysis and processing of chemical experiment data using the example of solving the scientific problem of classifying chemical compounds by toxicity level.

Results. The classification of methods and tools for intelligent data processing and analysis is considered. The use of artificial neural networks to solve the problem of analysis and classification is studied using the example of the toxicity properties of chemical compounds.

Practical significance. A practical example of processing the results of a chemical experiment and data mining to solve problems of classification and visualization of the results obtained using the SciLab package is given.

Pages: 68-74
For citation

Kuznetsov A.S., Burlyaeva E.V. Program comlex SciLab as a tool for teaching the use of artificial neural networks for processing the results of a chemical experiment. Neurocomputers. 2024. V. 26. № 3. Р. 68-74. DOI: https://doi.org/10.18127/j19998554-202403-07 (In Russian)

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Date of receipt: 06.04.2024
Approved after review: 22.04.2024
Accepted for publication: 26.05.2024