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• W3201852012 abstract "With its unique parallel processing capability, optical neural network has shown low-power consumption in image recognition and speech processing. At present, the manufacturing technology of programmable photonic chip is not mature, and the realization of optical neural network in free-space is still a hot spot of intelligent optical computing. In this article, based on MNIST datasets and 4f system, three-layer optical neural networks are constructed, whose recognition accuracy can reach 93.66%. Our network is programmable, high speed, reconfigurable and is better than the existing free-space optical neural network in terms of spatial complexity." @default.
• W3201852012 created "2021-10-11" @default.
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• W3201852012 date "2021-12-01" @default.
• W3201852012 modified "2023-10-15" @default.
• W3201852012 title "High speed and reconfigurable optronic neural network with digital nonlinear activation" @default.
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• W3201852012 doi "https://doi.org/10.1016/j.ijleo.2021.168043" @default.
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