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Handwritten farsi numeral recognition by neural network based on single electron transistors (SETs)

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3 Author(s)
Najafi, M. ; Dept. of Electr. Eng., Islamic Azad Univ., Qazvin, Iran ; Shahhoseini, A. ; Mirzakuchaki, S.

In this paper, handwritten farsi numeral recognition task (0-9) is developed using Hamming neural network circuit based on single electron transistors. simulations were done using Hspice and MATLAB softwares, which in comparison with SIMON software to have high speed in simulink area.

Published in:

Devices, Circuits and Systems (ICDCS), 2012 International Conference on

Date of Conference:

15-16 March 2012