APPLICATION OF A LOGICAL NEURAL NETWORK TO THE CLASSIFICATION PROBLEM

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.

Authors and Affiliations

Ruslan Zhilov

Keywords

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  • EP ID EP505514
  • DOI 10.18454/2079-6641-2018-23-3-180-183
  • Views 98
  • Downloads 0

How To Cite

Ruslan Zhilov (2018). APPLICATION OF A LOGICAL NEURAL NETWORK TO THE CLASSIFICATION PROBLEM. Вестник КРАУНЦ. Физико-математические науки, 3(), 180-183. https://europub.co.uk./articles/-A-505514