Toward Reusable Surrogate Models: Graph-Based Transfer Learning on Trusses
<jats:title>Abstract</jats:title> <jats:p>Surrogate models have several uses in engineering design, including speeding up design optimization, noise reduction, test measurement interpolation, gradient estimation, portability, and protection of intellectual property....
Main Authors: | Whalen, Eamon, Mueller, Caitlin |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Architecture |
Format: | Article |
Language: | English |
Published: |
ASME International
2022
|
Online Access: | https://hdl.handle.net/1721.1/145570 |
Similar Items
-
Enhancing surrogate models of engineering structures with graph-based and physics-informed learning
by: Whalen, Eamon Jasper
Published: (2022) -
Automated sequence and motion planning for robotic spatial extrusion of 3D trusses
by: Huang, Yijiang, et al.
Published: (2022) -
Automated sequence and motion planning for robotic spatial extrusion of 3D trusses
by: Huang, Yijiang, et al.
Published: (2021) -
Spherical harmonic shape descriptors of nodal force demands for quantifying spatial truss connection complexity
by: Lee, Keith J., et al.
Published: (2022) -
Issues of reusability of learning objects in web-based environment
by: Mat Noor, Siti Fadzilah, et al.
Published: (2006)