Hardware implementation of real-time Extreme Learning Machine in FPGA: Analysis of precision, resource occupation and performance

Title
Hardware implementation of real-time Extreme Learning Machine in FPGA: Analysis of precision, resource occupation and performance
Authors
Keywords
FPGA, Extreme Learning Machine - ELM, Neural network training, Neural network hardware, On-chip machine learning, Embedded systems
Journal
COMPUTERS & ELECTRICAL ENGINEERING
Volume 51, Issue -, Pages 139-156
Publisher
Elsevier BV
Online
2016-02-29
DOI
10.1016/j.compeleceng.2016.02.007

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