Asian Journal of Multidimensional Research (AJMR)
  • Year: 2018
  • Volume: 7
  • Issue: 11

Cyrillic alphabet letters identification with the help of artificial neurons

  • Author:
  • Iskandarova Sayyora Nurmamatovna
  • Total Page Count: 10
  • Page Number: 82 to 91

Doctorate student, ICT Center under the Tashkent University of Information, Technology named after Muhammad Al-Kharazmiy, Uzbekistan, Email: sayyora5@mail.ru

Online published on 18 December, 2018.

Abstract

This article describes the work stages, advantages and disadvantages of the Xopfild and Xemming neural models. Also, the order of operation of two directed associative memory is listed and its properties are listed in determining the accuracy of the image. The shortcomings of each model, the procedures for the compilation and use of standards of attributes are explained. The description of the program based on the Xopfild model in the builder environment is given. The Xopfild model of two directed associative memory is used.

Keywords

Neural Network, Xopfild Model, Xemming Model, Classification, Structure, Network, Activation Function, Memory