Comprehensive Review of Physics-Guided Deep Learning: Advancements, Challenges, and Perspectives
Although deep learning has significant achievements in addressing nonlinear and high-dimensional problems, it faces challenges in complex scientific and engineering domains (such as high computational costs and data requirements, the difficulties in interpreting its black-box nature, and the lack of...
Saved in:
| Main Author: | CHEN Chong, ZHU Xiaoyu, WANG Fang, XU Yaqian, ZHANG Wei |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2025-02-01
|
| Series: | Jisuanji kexue yu tansuo |
| Subjects: | |
| Online Access: | http://fcst.ceaj.org/fileup/1673-9418/PDF/2407056.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
RETRACTED: Philosophical and methodological aspects of scientific revolutions in science in physics teaching in medical schools
by: O. E. Baksansky, et al.
Published: (2015-06-01) -
A Critical Review on the Book The Structure of Scientific Revolutions
by: Farhang Ershad
Published: (2022-03-01) -
Classifications of Sociological Paradigms
by: Alexandru-Cosmin Apostol, et al.
Published: (2025-05-01) -
Two Informatics Revolutions Promote the Leap of Science View and Methodology—On the Zeitgeist Embodied in Religious Psychology, Physical Psychology, and Information Psychology
by: Lin Xia, et al.
Published: (2023-08-01) -
Physics-Guided Self-Supervised Learning Full Waveform Inversion with Pretraining on Simultaneous Source
by: Qiqi Zheng, et al.
Published: (2025-06-01)