RUS  ENG
Full version
JOURNALS // Vestnik KRAUNC. Fiziko-Matematicheskie Nauki // Archive

Vestnik KRAUNC. Fiz.-Mat. Nauki, 2018 Number 3(23), Pages 180–183 (Mi vkam269)

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.

UDC: 519.7

MSC: 68T30

Received: 08.06.2018

DOI: 10.18454/2079-6641-2018-23-3-180-183



Bibliographic databases:


© Steklov Math. Inst. of RAS, 2025