Tolerance to analog hardware of on-chip learning in backpropagation networks

Abstract

In this paper we present results of simulations performed assuming both forward and backward computation are done on-chip using analog components. Aspects of analog hardware studied are component variability, limited voltage ranges, components (multipliers) that only approximate the computations in the backpropagation algorithm, and capacitive weight decay… (More)
DOI: 10.1109/72.410349

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