Feature engineering and symbolic regression methods for detecting hidden physics from sparse sensor observation data
出版年份 2020 全文链接
标题
Feature engineering and symbolic regression methods for detecting hidden physics from sparse sensor observation data
作者
关键词
-
出版物
PHYSICS OF FLUIDS
Volume 32, Issue 1, Pages 015113
出版商
AIP Publishing
发表日期
2020-01-16
DOI
10.1063/1.5136351
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Sub-grid scale model classification and blending through deep learning
- (2019) Romit Maulik et al. JOURNAL OF FLUID MECHANICS
- Sparse identification of truncation errors
- (2019) Stephan Thaler et al. JOURNAL OF COMPUTATIONAL PHYSICS
- Internet of Things Mobile–Air Pollution Monitoring System (IoT-Mobair)
- (2019) Swati Dhingra et al. IEEE Internet of Things Journal
- PDE-Net 2.0: Learning PDEs from data with a numeric-symbolic hybrid deep network
- (2019) Zichao Long et al. JOURNAL OF COMPUTATIONAL PHYSICS
- Hidden physics models: Machine learning of nonlinear partial differential equations
- (2018) Maziar Raissi et al. JOURNAL OF COMPUTATIONAL PHYSICS
- Sparse reduced-order modelling: sensor-based dynamics to full-state estimation
- (2018) Jean-Christophe Loiseau et al. JOURNAL OF FLUID MECHANICS
- Numerical Gaussian Processes for Time-Dependent and Nonlinear Partial Differential Equations
- (2018) Maziar Raissi et al. SIAM JOURNAL ON SCIENTIFIC COMPUTING
- Application of an evolutionary algorithm to LES modelling of turbulent transport in premixed flames
- (2018) Matthias Schoepplein et al. JOURNAL OF COMPUTATIONAL PHYSICS
- Subgrid modelling for two-dimensional turbulence using neural networks
- (2018) R. Maulik et al. JOURNAL OF FLUID MECHANICS
- Data-driven deconvolution for large eddy simulations of Kraichnan turbulence
- (2018) R. Maulik et al. PHYSICS OF FLUIDS
- Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
- (2018) M. Raissi et al. JOURNAL OF COMPUTATIONAL PHYSICS
- Prediction and minimization of blast-induced ground vibration using two robust meta-heuristic algorithms
- (2017) Roohollah Shirani Faradonbeh et al. ENGINEERING WITH COMPUTERS
- Roadheader performance prediction using genetic programming (GP) and gene expression programming (GEP) techniques
- (2017) Roohollah Shirani Faradonbeh et al. Environmental Earth Sciences
- Model identification of reduced order fluid dynamics systems using deep learning
- (2017) Z. Wang et al. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS
- High order accurate finite difference schemes based on symmetry preservation
- (2017) Ersin Ozbenli et al. JOURNAL OF COMPUTATIONAL PHYSICS
- Image Restoration: Wavelet Frame Shrinkage, Nonlinear Evolution PDEs, and Beyond
- (2017) Bin Dong et al. MULTISCALE MODELING & SIMULATION
- Exact Recovery of Chaotic Systems from Highly Corrupted Data
- (2017) Giang Tran et al. MULTISCALE MODELING & SIMULATION
- Semi-autogenous mill power model development using gene expression programming
- (2017) Fatemeh Sadat Hoseinian et al. POWDER TECHNOLOGY
- Model selection for dynamical systems via sparse regression and information criteria
- (2017) N. M. Mangan et al. PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
- Learning partial differential equations via data discovery and sparse optimization
- (2017) Hayden Schaeffer PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
- Data-driven discovery of partial differential equations
- (2017) Samuel H. Rudy et al. Science Advances
- Closed-loop separation control over a sharp edge ramp using genetic programming
- (2016) Antoine Debien et al. EXPERIMENTS IN FLUIDS
- A novel evolutionary algorithm applied to algebraic modifications of the RANS stress–strain relationship
- (2016) Jack Weatheritt et al. JOURNAL OF COMPUTATIONAL PHYSICS
- Discovering governing equations from data by sparse identification of nonlinear dynamical systems
- (2016) Steven L. Brunton et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Closed-Loop Turbulence Control: Progress and Challenges
- (2015) Steven L. Brunton et al. Applied Mechanics Reviews
- Adaptive space transformation: An invariant based method for predicting aerodynamic coefficients of hypersonic vehicles
- (2015) Changtong Luo et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Closed-loop separation control using machine learning
- (2015) N. Gautier et al. JOURNAL OF FLUID MECHANICS
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Machine learning: Trends, perspectives, and prospects
- (2015) M. I. Jordan et al. SCIENCE
- Regularization Paths for Generalized Linear Models via Coordinate Descent
- (2015) Jerome Friedman et al. Journal of Statistical Software
- Identification strategies for model-based control
- (2013) Laurent Cordier et al. EXPERIMENTS IN FLUIDS
- The big challenges of big data
- (2013) Vivien Marx NATURE
- Sparse dynamics for partial differential equations
- (2013) H. Schaeffer et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- High-order methods for decaying two-dimensional homogeneous isotropic turbulence
- (2012) Omer San et al. COMPUTERS & FLUIDS
- Parse-matrix evolution for symbolic regression
- (2012) Changtong Luo et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- A coarse-grid projection method for accelerating incompressible flow computations
- (2012) Omer San et al. JOURNAL OF COMPUTATIONAL PHYSICS
- Image restoration: Total variation, wavelet frames, and beyond
- (2012) Jian-Feng Cai et al. JOURNAL OF THE AMERICAN MATHEMATICAL SOCIETY
- Two-Dimensional Turbulence
- (2011) Guido Boffetta et al. Annual Review of Fluid Mechanics
- Evidence for the double cascade scenario in two-dimensional turbulence
- (2010) G. Boffetta et al. PHYSICAL REVIEW E
- Pseudospectral methods for Nagumo equation
- (2009) Mehdi Dehghan et al. International Journal for Numerical Methods in Biomedical Engineering
- Distilling Free-Form Natural Laws from Experimental Data
- (2009) Michael Schmidt et al. SCIENCE
- Nonlinear system identification: From multiple-model networks to Gaussian processes
- (2008) Gregor Gregorčič et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- An Introduction To Compressive Sampling
- (2008) E.J. Candes et al. IEEE SIGNAL PROCESSING MAGAZINE
- Enhancing Sparsity by Reweighted ℓ 1 Minimization
- (2008) Emmanuel J. Candès et al. JOURNAL OF FOURIER ANALYSIS AND APPLICATIONS
- Prediction of compressive and tensile strength of Gaziantep basalts via neural networks and gene expression programming
- (2008) Hanifi Çanakcı et al. NEURAL COMPUTING & APPLICATIONS
- A modified tanh–coth method for solving the KdV and the KdV–Burgers’ equations
- (2007) Luwai Wazzan Communications in Nonlinear Science and Numerical Simulation
Publish 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 MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started