Augmented Neural Network Surrogate Models for Polynomial Chaos Expansions and Reduced Order Modeling
Mathematical models describing real world processes are becoming increasingly complex to better match the dynamics of the true system. While this is a positive step towards more complete knowledge of our world, numerical evaluations of these models become increasingly computationally inefficient, re...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Others |
| Published: |
Virginia Tech
2021
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10919/103423 |