作者: Mark A. Neifeld , Subrata Rakshit , Demetri Psaltis
DOI: 10.1117/12.44963
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摘要: We describe a new optical architecture for the realization of distance-based classifiers and in particular, radial basis function classifiers. This system uses spatial multiplexing to improve computation speed while simple parallel postprocessing electronics are used provide on-line learning neural network. is compared with previous which realized classifier solution