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THEORETICAL AND APPLIED INFORMATICS
Application of a logical neural network to the classification problem
R. A. Zhilov Institute of Applied Mathematics and Automation of Kabardin-Balkar Scientific Centre of RAS ( IAMA KBSC RAS), 360000, Nalchik, Shortanova st., 89A
Abstract:
The solution of the classification problem is becoming more urgent due to the development of technology and the growth of the processed data volumes. The use of neural networks is mandatory when solving classification problems, because Neural networks have the ability to identify significant features and hidden patterns. The advantages of a logical neural network are: higher classification accuracy, higher learning and retraining.
Keywords:
logical neural networks, training, data classification, trace algorithm.
Received: 08.06.2018
Citation:
R. A. Zhilov, “Application of a logical neural network to the classification problem”, Vestnik KRAUNC. Fiz.-Mat. Nauki, 2018, no. 3(23), 180–183
Linking options:
https://www.mathnet.ru/eng/vkam269 https://www.mathnet.ru/eng/vkam/y2018/i3/p180
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