Geodesic
Application of a logical neural network to the classification problem
Vestnik KRAUNC. Fiziko-matematičeskie nauki, no. 3 (2018), pp. 180-183

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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. 
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     author = {R. A. Zhilov},
     title = {Application of a logical neural network to the classification problem},
     journal = {Vestnik KRAUNC. Fiziko-matemati\v{c}eskie nauki},
     pages = {180--183},
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     number = {3},
     year = {2018},
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     url = {http://geodesic.mathdoc.fr/item/VKAM_2018_3_a20/}
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R. A. Zhilov. Application of a logical neural network to the classification problem. Vestnik KRAUNC. Fiziko-matematičeskie nauki, no. 3 (2018), pp. 180-183. http://geodesic.mathdoc.fr/item/VKAM_2018_3_a20/