Abstract:ABASTARCTIn this paper, we present a feedforward training algorithm using Regularized Logistic Regression and Neural Networks to recognize handwritten objects. Furthermore, we intend to consider the effect of Gaussian noise in this procedure in order to examine the versatility of our approach. We might intend to transmit the image of our digits through an AWGN channel to a certain destination and then do the recognition process in our destination, so we need our algorithm to be still robust against the noises … Show more
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