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Physics-Driven Regularization of Deep Neural Networks for Enhanced
  Engineering Design and Analysis

Physics-Driven Regularization of Deep Neural Networks for Enhanced Engineering Design and Analysis

11 October 2018
M. A. Nabian
Hadi Meidani
    PINN
    AI4CE
ArXivPDFHTML

Papers citing "Physics-Driven Regularization of Deep Neural Networks for Enhanced Engineering Design and Analysis"

3 / 3 papers shown
Title
Robustness of Physics-Informed Neural Networks to Noise in Sensor Data
Robustness of Physics-Informed Neural Networks to Noise in Sensor Data
Jian Cheng Wong
P. Chiu
C. Ooi
My Ha Da
27
3
0
22 Nov 2022
A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate
A Deep Collocation Method for the Bending Analysis of Kirchhoff Plate
Hongwei Guo
X. Zhuang
Timon Rabczuk
AI4CE
16
433
0
04 Feb 2021
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,634
0
03 Jul 2012
1