SIMULATION OF THE NEURAL NETWORK TO SOLVE TASKS OF SYMBOLS IDENTIFICATION

Anatolyy Vasyura; Tetyana Martynyuk; Leonid Kupershtein

SIMULATION OF THE NEURAL NETWORK TO SOLVE TASKS OF SYMBOLS IDENTIFICATION

Автор(и)

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

Анотація

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.

Біографії авторів

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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Як цитувати

[1]

A. Vasyura, T. Martynyuk, і L. Kupershtein, «SIMULATION OF THE NEURAL NETWORK TO SOLVE TASKS OF SYMBOLS IDENTIFICATION», Scientific Works of Vinnytsia National Technical University, вип. 1, Груд 2011.