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.