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- W2079849934 abstract "Encoded neural networks mix the principles of associative memories and error-correcting decoders. Their storage capacity has been shown to be much larger than Hopfield Neural Networks'. This paper introduces an analog implementation of this new type of network. The proposed circuit has been designed for the 1V supply ST CMOS 65nm process. It consumes 1165 times less energy than a digital equivalent circuit while being 2.7 times more efficient in terms of combined speed and surface." @default.
- W2079849934 created "2016-06-24" @default.
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- W2079849934 date "2013-05-01" @default.
- W2079849934 modified "2023-09-24" @default.
- W2079849934 title "Analog implementation of encoded neural networks" @default.
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- W2079849934 doi "https://doi.org/10.1109/iscas.2013.6572170" @default.
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