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- W2049580334 abstract "A novel quantized learning rule with unipolar binary weights which is useful to simplify the artificial neural hardware is reported. An input-dependent thresholding operation is also proposed to remove the unwanted effect due to insufficient contrast ratio of spatial light modulations as a synaptic connection device. The recognition of 26 characters of the alphabet by the single set of an optoelectronic three-layered network was demonstrated experimentally" @default.
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- W2049580334 date "1990-01-01" @default.
- W2049580334 modified "2023-09-23" @default.
- W2049580334 title "Character recognition using a dynamic opto-electronic neural network with unipolar binary weights" @default.
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- W2049580334 doi "https://doi.org/10.1109/ijcnn.1990.137665" @default.
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