Evaluation of the CNAPS neuro-computer for the simulation of MLPS with receptive fields
In this paper we evaluate the performances of the CNAPS neuro-computer for the simulation of the MLPs with receptive fields used for handwritten character recognition. Our measures show that the effective performances are far below the peak performances or the performances achieved for fully connected MLPs. We introduce a new methodology to predict the time simulation on CNAPS for any MLP. Finally we show that the performances of CNAPS are close to those of direct hardware implementations and that they can even be improved.
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