Machine learning approaches to environmental disturbance rejection in multi-axis optoelectronic force sensors-Reference-Cited by-同舟云学术

Machine learning approaches to environmental disturbance rejection in multi-axis optoelectronic force sensors

Published:2016-09 Issue: Volume:248 Page:78-87
ISSN:0924-4247
Container-title:Sensors and Actuators A: Physical
language:en
Short-container-title:Sensors and Actuators A: Physical

Author:

Gafford J.,Doshi-Velez F.,Wood R.,Walsh C.

Funder

Defense Advanced Research Projects Agency

Wyss Institute for Biologically Inspired Engineering

John A. Paulson School of Engineering and Applied Sciences at Harvard University

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Metals and Alloys,Surfaces, Coatings and Films,Condensed Matter Physics,Instrumentation,Electronic, Optical and Magnetic Materials

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