Deviation-tolerant floating gate structures as a way to design an on-chip learning neural networks.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/soco/LashevskyS02
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Deviation-tolerant floating gate structures as a way to design an on-chip learning neural networks.
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?MOS transistor, Artificial neural networks, Analog hardware implementation, Deviation tolerance
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Deviation-tolerant floating gate structures as a way to design an on-chip learning neural networks.
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