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  3. Number 881, 2017
  4. Algorithmic and software means of handwritten symbols recognition.

Algorithmic and software means of handwritten symbols recognition.

CSN.
2017;
, Number 881
: pp. 98 - 106
https://doi.org/10.23939/csn2017.881.098

Paramud Y. Algorithmic and software means of handwritten symbols recognition / Y. Paramud, V. Yarkun // Visnyk Natsionalnoho universytetu "Lvivska politekhnika". Serie: Kompiuterni systemy ta merezhi. — Lviv : Vydavnytstvo Lvivskoi politekhniky, 2017. — No 881. — P. 98–106.

Authors:
  1. Yaroslav Paramud
  2. Volodymyr Yarkun
1
Lviv Polytechnic National University, Computer Engineering Department
2
Lviv Polytechnic National University, Computer Engineering Department

In this article is considered the algorithm of logistic regression and construction of the neural network for the recognition of handwritten symbols in the image. Examples of implementation of two approaches for solving the problem of numerical recognition are given. The efficiency of using a neural network, as the provision of the most reliable recognition results, is explored.

logistic regression
neural network
symbols recognition
machine learning
cost function
gradient descent
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