A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf
.
Compact Modeling of Single Electron Memory Based on Perceptron Designs
2015
Journal of Material Science & Engineering
In this work, we present a Single electron random access memories based on perceptron designs used as the basic artificial bio-inspired neural processing element. The operation principles are described and illustrated for the first time by simulations results. Combining the Monte Carlo method with a direct solution of the stationary master equation, we use SIMON simulator and MATLAB for training process. The main goal of this work is to build a multilayer neural network used in recognition and
doi:10.4172/2169-0022.1000187
fatcat:wcwnqfwew5crlnozrvrcitq3fi