Moving Learning Machine towards Fast Real-Time Applications: A High-Speed FPGA-Based Implementation of the OS-ELM Training Algorithm

Moving Learning Machine towards Fast Real-Time Applications: A High-Speed FPGA-Based Implementation of the OS-ELM Training Algorithm

Currently, there are some emerging online learning applications handling data streams in real-time. The On-line Sequential Extreme Learning Machine (OS-ELM) has been successfully used in real-time condition prediction applications because of its good generalization performance at an extreme learning...

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Bibliographic Details
Main Authors: Jose V.  Frances-Villora, Alfredo Rosado-Muñoz, Manuel  Bataller-Mompean, Juan  Barrios-Aviles, Juan F.  Guerrero-Martinez
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Electronics
Subjects:
online sequential ELM
OS-ELM
FPGA
on-chip training
on-line learning
real-time learning
hardware implementation
extreme learning machine
Online Access:https://www.mdpi.com/2079-9292/7/11/308

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https://www.mdpi.com/2079-9292/7/11/308

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