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

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.

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Bibliographic Details
Published in2012 International Conference on Devices, Circuits and Systems (ICDCS) pp. 59 - 62
Main Authors Najafi, M., Shahhoseini, A., Mirzakuchaki, S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2012
Subjects
Computer languages
Neurons
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Summary: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.
ISBN:1457715457
9781457715457
DOI:10.1109/ICDCSyst.2012.6188674