FPGA-Based Implementation of Stochastic Configuration Networks for Regression Prediction

FPGA-Based Implementation of Stochastic Configuration Networks for Regression Prediction

The implementation of neural network regression prediction based on digital circuits is one of the challenging problems in the field of machine learning and cognitive recognition, and it is also an effective way to relieve the pressure of the Internet in the era of intelligence. As a nonlinear netwo...

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Bibliographic Details
Main Authors: Yunqi Gao, Feng Luan, Jiaqi Pan, Xu Li, Yaodong He
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Sensors
Subjects:
field programmable gate array
hardware neural networks
regression prediction
stochastic configuration networks
Online Access:https://www.mdpi.com/1424-8220/20/15/4191

Internet

https://www.mdpi.com/1424-8220/20/15/4191

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