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Network on Chip architecture for BP neural network

Authors: null Yiping Dong; null Takahiro Watanabe;

Network on Chip architecture for BP neural network

Abstract

Recently, networks-on-chips (NoCs) have a great development and have been proposed as a promising solution to complex on-chip communication problems. One of the problems is an application of artificial neural networks (ANNs). In this paper, we propose NoCs for the ANNs. NoCs is designed to implement a BP-ANNs (back-propagation) and evaluated by network-on-chips. Experimental results show that for has a great reduction in communication load and a high connection per second (CPS) compared with traditional BP-ANNs. It is also reconfigurable, expandable and stable to meet various problems.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Top 10%
Average
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