A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Distributed Machine Learning in Materials that Couple Sensing, Actuation, Computation and Communication
[article]
2016
arXiv
pre-print
This paper reviews machine learning applications and approaches to detection, classification and control of intelligent materials and structures with embedded distributed computation elements. The purpose of this survey is to identify desired tasks to be performed in each type of material or structure (e.g., damage detection in composites), identify and compare common approaches to learning such tasks, and investigate models and training paradigms used. Machine learning approaches and common
arXiv:1606.03508v1
fatcat:zb5jcvda5jg6zpsv5w47wwr6nq