PERCEPTRON IN BINARY CLASSIFICATION PROBLEMS

Authors

  • O. Mitina MIREA – Russian Technological University, Moscow
  • P. Lomovtsev MIREA – Russian Technological University Moscow

Keywords:

perceptron; binary classification tasks; neural networks.

Abstract

Currently, the volume of products manufactured by enterprises is growing in Russia. One of the serious problems for Russian enterprises is the creation of a system for automatic determination of the category of goods, which makes it possible to ensure error-free sorting of various objects. The next product must be attributed to the correct class, depending on its characteristics. 

The perceptron is one of the most popular methods for solving the classification problem. Automation of the process of separating goods by their properties will facilitate the work of the employees of the sorting center and eliminate the possibility of errors due to human factors.

Author Biographies

O. Mitina , MIREA – Russian Technological University, Moscow

Candidate of Science

P. Lomovtsev , MIREA – Russian Technological University Moscow

2nd year student

References

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Published

2021-05-14

Issue

Vol. 1 No. 66 (2021)

Section

Статьи

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