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。Adaptive activation functions accelerate convergence in deep and physics-informed neural networks
Ameya D. Jagtap et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2020)
Data-driven deep learning of partial differential equations in modal space
Kailiang Wu et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2020)
Estimating the water characteristic curve for soil containing residual plastic film based on an improved pore-size distribution
Zhichao Wang et al.
GEODERMA (2020)
Locally adaptive activation functions with slope recovery for deep and physics-informed neural networks
Ameya D. Jagtap et al.
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2020)
Solving Partial Differential Equation Based on Bernstein Neural Network and Extreme Learning Machine Algorithm
Hongli Sun et al.
NEURAL PROCESSING LETTERS (2019)
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
M. Raissi et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2019)
ConvPDE-UQ: Convolutional neural networks with quantified uncertainty for heterogeneous elliptic partial differential equations on varied domains
Nick Winovich et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2019)
Identification of physical processes via combined data-driven and data-assimilation methods
Haibin Chang et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2019)
PDE-Net 2.0: Learning PDEs from data with a numeric-symbolic hybrid deep network
Zichao Long et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2019)
Data-driven discovery of partial differential equation models with latent variables
Patrick A. K. Reinbold et al.
PHYSICAL REVIEW E (2019)
IMAGE RESTORATION: WAVELET FRAME SHRINKAGE, NONLINEAR EVOLUTION PDES, AND BEYOND
Bin Dong et al.
MULTISCALE MODELING & SIMULATION (2017)
Data-driven discovery of partial differential equations
Samuel H. Rudy et al.
SCIENCE ADVANCES (2017)
Discovering governing equations from data by sparse identification of nonlinear dynamical systems
Steven L. Brunton et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2016)
An exponential high-order compact ADI method for 3D unsteady convection-diffusion problems
Yongbin Ge et al.
NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS (2013)
IMAGE RESTORATION: TOTAL VARIATION, WAVELET FRAMES, AND BEYOND
Jian-Feng Cai et al.
JOURNAL OF THE AMERICAN MATHEMATICAL SOCIETY (2012)
Complex variable boundary element-free method for two-dimensional elastodynamic problems
K. M. Liew et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2009)
A high-order compact ADI method for solving three-dimensional unsteady convection-diffusion problems
S Karaa
NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS (2006)
One implementation variant of the finite difference method for solving ODEs/DAEs
B Wu et al.
COMPUTERS & CHEMICAL ENGINEERING (2004)
High order ADI method for solving unsteady convection-diffusion problems
S Karaa et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2004)
Numerical solution of differential equations using multiquadric radial basis function networks
N Mai-Duy et al.
NEURAL NETWORKS (2001)