USING KOHONEN NEURAL NETWORKS AND FUZZY NEURAL NETWORKS IN INTELLIGENT ANALYSIS OF IoT SENSOR INFORMATION

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Published: Jan 31, 2025
Keywords:
data mining, rule extraction algorithm, neural network method, evaluation rules, Kohonen networks, neural network models.

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Alevtina Aleksandrovna Muradova
TUIT named after Muhammad al-Khwarizmi, PhD, associate professor of the Department of Telecommunication Engineering

Abstract

The article presents methods for using Kohonen neural networks and fuzzy neural networks in intelligent analysis of information from IoT sensors. A detailed data analysis process based on a neural network is shown. The types of intelligent data analysis based on neural networks are considered. The advantages and disadvantages of popular neural networks in data mining are also given.

Article Details

How to Cite
Muradova, A. A. (2025). USING KOHONEN NEURAL NETWORKS AND FUZZY NEURAL NETWORKS IN INTELLIGENT ANALYSIS OF IoT SENSOR INFORMATION. SCHOLAR, 3(1), 4-11. https://scholar-journal.org/index.php/s/article/view/177
Issue
Vol. 3 No. 1 (2025): SCHOLAR
Section
Articles
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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Muradova, A. A. (2025). USING KOHONEN NEURAL NETWORKS AND FUZZY NEURAL NETWORKS IN INTELLIGENT ANALYSIS OF IoT SENSOR INFORMATION. SCHOLAR, 3(1), 4-11. https://scholar-journal.org/index.php/s/article/view/177

References

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