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Implementation of Analog Perceptron as an Essential Element of Configurable Neural Networks
Perceptron is an essential element in neural network (NN)-based machine learning, however, the effectiveness of various implementations by circuits is rarely demonstrated from chip testing. This paper presents the measured silicon results for the analog perceptron circuits fabricated in a 0.6 [Formu...
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| I publikationen: | Sensors (Basel) |
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| Huvudupphovsmän: | , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
MDPI
2020
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7435680/ https://ncbi.nlm.nih.gov/pubmed/32751288 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20154222 |
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