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- W2901496358 abstract "This paper studies hardware implementation of a simple dynamic binary neural network that can generate various periodic orbits. The network is characterized by local binary connection and signum activation function. First, using a simple feature quantity, stability of a target periodic orbit is considered. Second, using a FPGA board, a test circuit is implemented. The signum activation function is realized by a majority decision circuit and the binary connection is realized by switches and inverters. The circuit operation is confirmed experimentally." @default.
- W2901496358 created "2018-11-29" @default.
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- W2901496358 date "2018-01-01" @default.
- W2901496358 modified "2023-10-06" @default.
- W2901496358 title "FPGA Based Hardware Implementation of Simple Dynamic Binary Neural Networks" @default.
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- W2901496358 doi "https://doi.org/10.1007/978-3-030-04239-4_58" @default.
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