ХАЛЫҚАPАЛЫҚ АҚПАРАТТЫҚ ЖӘНЕ КОММУНИКАЦИЯЛЫҚ ТЕХНОЛОГИЯЛАР ЖУРНАЛЫ

Competitive learning in neural networks

Авторлар

  • Mukhanov S.B. International Information Technology University
  • Aldanazar A.A. International Information Technology University
  • Uatbayeva A.M. International Information Technology University
  • Alimbekov A.Ye. International Information Technology University
  • Marat G.S. International Information Technology University

DOI:

https://doi.org/10.54309/IJICT.2020.3.3.011

Кілт сөздер:

competitive learning, neural networks, learning, perceptron, synaptic weights

Аңдатпа

The article presents the basic concept of competitive learning in neural networks. Provides the main machine learning learning models and applications. The analysis of the advantages and disadvantages of these models is carried out. The geometric interpretation of competitive learning is presented in terms of mathematical formulas, as well as the behavior of neurons in this model. Neural systems are described as a powerful tool and driver in the field of modern Internet technologies, in data science and big (meta) data.

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Жүктеулер

Жарияланды

2021-07-29

Дәйексөзді қалай келтіруге болады

Mukhanov S.B., Aldanazar A.A., Uatbayeva A.M., Alimbekov A.Ye., & Marat G.S. (2021). Competitive learning in neural networks. ХАЛЫҚАPАЛЫҚ АҚПАРАТТЫҚ ЖӘНЕ КОММУНИКАЦИЯЛЫҚ ТЕХНОЛОГИЯЛАР ЖУРНАЛЫ, 1(3). https://doi.org/10.54309/IJICT.2020.3.3.011

Журналдың саны

Нөмір 1 № 3 (2020): ХАЛЫҚАРАЛЫҚ АҚПАРАТТЫҚ ЖӘНЕ КОММУНИКАЦИЯЛЫҚ ТЕХНОЛОГИЯЛАР ЖУРНАЛЫ

Бөлім

ИНТЕЛЛЕКТУАЛЬНЫЕ СИСТЕМЫ

Лицензия

https://creativecommons.org/licenses/by-nc-nd/3.0/deed.en