Machine learning for finite element analysis of fillet radius under tensile load
The improvement in both computational hardware power and software capabilities has enabled machine learning to take a more prominent role in today’s society. Across a myriad of industries like finance, engineering and the medical field, machine learning has increasingly become an effective tool. In...
Saved in:
Main Author: | Goh, Nigel Jian Wei |
---|---|
Other Authors: | Chow Wai Tuck |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/140541 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Supervised learning for finite element analysis of holes under biaxial load
by: Lau, Jia Tai
Published: (2020) -
Effect of coupling in steel/aluminium laminate subjected to tensile load and bending load
by: Pak, Jun Wei
Published: (2022) -
Effect of coupling in steel/aluminium laminate subjected to tensile load and bending load
by: Law, Ming En
Published: (2023) -
Development of a “smooth” finite element
by: Goh, Dickson Di Sheng.
Published: (2012) -
Effect of coupling in steel/aluminium laminate subjected to tensile load
by: Ang, Dionysius Wei Qian
Published: (2021)