SIMULATION OF THE NEURAL NETWORK TO SOLVE TASKS OF SYMBOLS IDENTIFICATION

Authors

  • Anatolyy Vasyura Vinnytsia National Technical University
  • Tetyana Martynyuk Vinnytsia National Technical University
  • Leonid Kupershtein Vinnytsia Financial Economic University

Abstract

Modeling of the three layer feed forward neural network is executed for symbols identification in context of using this network in the neural part of the fraud management system in telecommunications. Modeling is executed by using MatLAB 6.5 and toolkit Neural Networks Toolbox.

Author Biographies

Anatolyy Vasyura, Vinnytsia National Technical University

Director of the Institute, Professor of the Department for Automatics and Information Measuring Devices

Tetyana Martynyuk, Vinnytsia National Technical University

Assistant Professor of the Department for Laser and Optoelectronic Engineering; The Institute for Automatics, Electronics and Computer Control Systems

Leonid Kupershtein, Vinnytsia Financial Economic University

Senior Lecturer of the Department for Information Systems and Technologies

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How to Cite

[1]
A. Vasyura, T. Martynyuk, and L. Kupershtein, “SIMULATION OF THE NEURAL NETWORK TO SOLVE TASKS OF SYMBOLS IDENTIFICATION”, Works of VNTU, no. 1, Dec. 2011.

Issue

No. 1 (2007): 2007№1

Section

Research Results Application

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