Multi-fidelity convolutional neural network surrogate model for aerodynamic optimization based on transfer learning
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Multi-fidelity convolutional neural network surrogate model for aerodynamic optimization based on transfer learning
Authors
Keywords
-
Journal
PHYSICS OF FLUIDS
Volume 33, Issue 12, Pages 127121
Publisher
AIP Publishing
Online
2021-12-22
DOI
10.1063/5.0076538
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A deep learning based prediction approach for the supercritical airfoil at transonic speeds
- (2021) Di Sun et al. PHYSICS OF FLUIDS
- Explore missing flow dynamics by physics-informed deep learning: The parameterized governing systems
- (2021) Hui Xu et al. PHYSICS OF FLUIDS
- Flow field prediction of supercritical airfoils via variational autoencoder based deep learning framework
- (2021) Jing Wang et al. PHYSICS OF FLUIDS
- From active learning to deep reinforcement learning: Intelligent active flow control in suppressing vortex-induced vibration
- (2021) Changdong Zheng et al. PHYSICS OF FLUIDS
- Lost in Transduction: Transductive Transfer Learning in Text Classification
- (2021) Alejandro Moreo et al. ACM Transactions on Knowledge Discovery from Data
- Fine-grained pornographic image recognition with multiple feature fusion transfer learning
- (2020) Xinnan Lin et al. International Journal of Machine Learning and Cybernetics
- Active control for drag reduction of turbulent channel flow based on convolutional neural networks
- (2020) Bing-Zheng Han et al. PHYSICS OF FLUIDS
- Multi-fidelity deep neural network surrogate model for aerodynamic shape optimization
- (2020) Xinshuai Zhang et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Machine learning methods for turbulence modeling in subsonic flows around airfoils
- (2019) Linyang Zhu et al. PHYSICS OF FLUIDS
- Issues in Deciding Whether to Use Multifidelity Surrogates
- (2019) M. Giselle Fernández-Godino et al. AIAA JOURNAL
- Efficient aerodynamic shape optimization using variable-fidelity surrogate models and multilevel computational grids
- (2019) Zhonghua Han et al. Chinese Journal of Aeronautics
- Image Recognition of Coal and Coal Gangue Using a Convolutional Neural Network and Transfer Learning
- (2019) Yuanyuan Pu et al. Energies
- Single/two-objective aerodynamic shape optimization by a Stackelberg/adjoint method
- (2019) Jing Wang et al. ENGINEERING OPTIMIZATION
- Sig-NMS-Based Faster R-CNN Combining Transfer Learning for Small Target Detection in VHR Optical Remote Sensing Imagery
- (2019) Ruchan Dong et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems
- (2019) Xuhui Meng et al. JOURNAL OF COMPUTATIONAL PHYSICS
- Language-Adversarial Transfer Learning for Low-Resource Speech Recognition
- (2018) Jiangyan Yi et al. IEEE-ACM Transactions on Audio Speech and Language Processing
- Nonlinear information fusion algorithms for data-efficient multi-fidelity modelling
- (2017) P. Perdikaris et al. PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
- A unified approach to transfer learning of deep neural networks with applications to speaker adaptation in automatic speech recognition
- (2016) Zhen Huang et al. NEUROCOMPUTING
- Triplex Transfer Learning: Exploiting Both Shared and Distinct Concepts for Text Classification
- (2013) Fuzhen Zhuang et al. IEEE Transactions on Cybernetics
- Alternative Cokriging Method for Variable-Fidelity Surrogate Modeling
- (2012) Zhonghua Han et al. AIAA JOURNAL
- Multi-objective optimization of turbomachinery using improved NSGA-II and approximation model
- (2010) X.D. Wang et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Cross-Domain Learning from Multiple Sources: A Consensus Regularization Perspective
- (2009) Fuzhen Zhuang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- A Survey on Transfer Learning
- (2009) Sinno Jialin Pan et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Two-Level Multifidelity Design Optimization Studies for Supersonic Jets
- (2009) Seongim Choi et al. JOURNAL OF AIRCRAFT
- Recent advances in surrogate-based optimization
- (2009) Alexander I.J. Forrester et al. PROGRESS IN AEROSPACE SCIENCES
- Multi-objective optimization based on meta-modeling by using support vector regression
- (2008) Yeboon Yun et al. OPTIMIZATION AND ENGINEERING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More