Abstract
In this paper, the first complete implementation of a Hamming neural network based on single-electron devices is presented. A large-scale network for character recognition simulation based on building block approach was successfully carried out. Simulations were done using SIMON and MATLAB softwares. Effects such as offset charges and dynamic behavior are taken into account. Moreover, room temperature operation is considered.
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