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- W1484806815 abstract "A machine organization is presented for the digital emulation of completely connected and multi-layer neural networks including back-propagation learning. The system architecture lends itself to a hierarchical machine organization of six levels and supports the direct emulation of network models for up to N neurons and the virtual emulation of an arbitrary number of V neurons for V>N. The system is scalable for both direct and virtual processing. Based on performance estimations, the proposed structure is shown to provide a 3X to 133X speed-up for NETtalk emulation when compared to other neuroemulators. >" @default.
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- W1484806815 date "2002-12-17" @default.
- W1484806815 modified "2023-09-25" @default.
- W1484806815 title "Scalable completely connected digital neural networks" @default.
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- W1484806815 doi "https://doi.org/10.1109/icnn.1994.374534" @default.
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