Single Layer Artificial Neural Network: Perceptron

Authors

  • Samandarov Erkaboy Karimboyevich Teacher of computational mathematics and information systems department of applied mathematics and intellectual technologies faculty of National university of Uzbekistan named after MirzoUlugbek
  • Abdurakhmonov Olim Nematullayevich Senior teacher of computational mathematics and information systems department of applied mathematics and intellectual technologies faculty of National university of Uzbekistan named after MirzoUlugbek

Keywords:

Perceptron, artificial neural network, activation function, bias, weight, artificial intelligence

Abstract

In this paper, we overview the perceptron that is simple form of artificial neural network. In particular, we will consider the structure of the perceptron and its features. Moreover, we will overview input values, weights, basis, output value, activation function of perceptron and the program in Python that implemented as well as we consider the use cases application of perceptron.

References

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Published

2022-04-15

How to Cite

Karimboyevich, S. E. ., & Nematullayevich, A. O. . (2022). Single Layer Artificial Neural Network: Perceptron. European Multidisciplinary Journal of Modern Science, 5, 230–238. Retrieved from https://emjms.academicjournal.io/index.php/emjms/article/view/253

Issue

Section

Articles