INTEGRATION OF PHYSICS-INFORMED APPROACHES WITH MACHINE LEARNING TECHNIQUES FOR AERODYNAMICS
Ph.D
Saved in:
Main Author: | LIAO YANGTIANCHUN |
---|---|
Other Authors: | MECHANICAL ENGINEERING |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2024
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/247630 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Language: | English |
Similar Items
-
Aerodynamic Analysis of Aircraft Wing
by: Nguyen, Minh Triet, et al.
Published: (2017) -
PHYSICS-BASED AND DATA-DRIVEN DEEP LEARNING MODELS FOR FLOW FIELD PREDICTION AND AIRFOIL DESIGN
by: VINOTHKUMAR SEKAR
Published: (2021) -
Flexibility and accuracy enhancement techniques for neural networks
by: LI PENG (HT006960U)
Published: (2010) -
A technique for on-line parameter estimation based on an analog artificial neural net structure
by: Lee, T.H., et al.
Published: (2014) -
TOWARDS SCALABLE GRADIENT-BASED HYPERPARAMETER OPTIMIZATION IN DEEP NEURAL NETWORKS
by: FU JIE
Published: (2017)