标题
GW-PINN: A deep learning algorithm for solving groundwater flow equations
作者
关键词
Deep learning method, GW-PINN, Locally refined sampling strategy, Hard constraint, Two-stage training strategy
出版物
ADVANCES IN WATER RESOURCES
Volume -, Issue -, Pages 104243
出版商
Elsevier BV
发表日期
2022-05-31
DOI
10.1016/j.advwatres.2022.104243
参考文献
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注意：仅列出部分参考文献，下载原文获取全部文献信息。- Data-driven models for accurate groundwater level prediction and their practical significance in groundwater management
- (2022) Jianchong Sun et al. JOURNAL OF HYDROLOGY
- Entity aware sequence to sequence learning using LSTMs for estimation of groundwater contamination release history and transport parameters
- (2022) Aatish Anshuman et al. JOURNAL OF HYDROLOGY
- Solution of diffusivity equations with local sources/sinks and surrogate modeling using weak form Theory-guided Neural Network
- (2021) Rui Xu et al. ADVANCES IN WATER RESOURCES
- Deep learning of subsurface flow via theory-guided neural network
- (2020) Nanzhe Wang et al. JOURNAL OF HYDROLOGY
- A long Short-Term memory cyclic model with mutual information for hydrology forecasting: A Case study in the xixian basin
- (2020) Ning Lv et al. ADVANCES IN WATER RESOURCES
- Conservative physics-informed neural networks on discrete domains for conservation laws: Applications to forward and inverse problems
- (2020) Ameya D. Jagtap et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- PPINN: Parareal physics-informed neural network for time-dependent PDEs
- (2020) Xuhui Meng et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation
- (2020) Shuai Gao et al. JOURNAL OF HYDROLOGY
- Deep autoregressive neural networks for high‐dimensional inverse problems in groundwater contaminant source identification
- (2019) Shaoxing Mo et al. WATER RESOURCES RESEARCH
- Machine‐Learning Methods for Water Table Depth Prediction in Seasonal Freezing‐Thawing Areas
- (2019) Tianxing Zhao et al. Groundwater
- Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems
- (2019) Dongkun Zhang et al. JOURNAL OF COMPUTATIONAL PHYSICS
- A mesh-free method for interface problems using the deep learning approach
- (2019) Zhongjian Wang et al. JOURNAL OF COMPUTATIONAL PHYSICS
- Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data
- (2019) Luning Sun et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Simulate the forecast capacity of a complicated water quality model using the long short-term memory approach
- (2019) Zhongyao Liang et al. JOURNAL OF HYDROLOGY
- Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification
- (2018) Yinhao Zhu et al. JOURNAL OF COMPUTATIONAL PHYSICS
- Developing a Long Short-Term Memory (LSTM) based model for predicting water table depth in agricultural areas
- (2018) Jianfeng Zhang et al. JOURNAL OF HYDROLOGY
- Training-Image Based Geostatistical Inversion Using a Spatial Generative Adversarial Neural Network
- (2018) Eric Laloy et al. WATER RESOURCES RESEARCH
- DGM: A deep learning algorithm for solving partial differential equations
- (2018) Justin Sirignano et al. JOURNAL OF COMPUTATIONAL PHYSICS
- A unified deep artificial neural network approach to partial differential equations in complex geometries
- (2018) Jens Berg et al. NEUROCOMPUTING
- A trans-disciplinary review of deep learning research and its relevance for water resources scientists
- (2018) Chaopeng Shen WATER RESOURCES RESEARCH
- 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
- Wavelet-linear genetic programming: A new approach for modeling monthly streamflow
- (2017) Masoud Ravansalar et al. JOURNAL OF HYDROLOGY
- Direct groundwater discharge and vulnerability to hidden nutrient loads along the Great Lakes coast of the United States
- (2017) Deon Knights et al. JOURNAL OF HYDROLOGY
- A method to improve the stability and accuracy of ANN- and SVM-based time series models for long-term groundwater level predictions
- (2016) Heesung Yoon et al. COMPUTERS & GEOSCIENCES
- Efficacy of neural network and genetic algorithm techniques in simulating spatio-temporal fluctuations of groundwater
- (2014) Madan K. Jha et al. HYDROLOGICAL PROCESSES
- A Stochastic Modelling Technique for Groundwater Level Forecasting in an Arid Environment Using Time Series Methods
- (2014) Mohammad Mirzavand et al. WATER RESOURCES MANAGEMENT
- Modeling unsaturated zone flow and runoff processes by integrating MODFLOW-LGR and VSF, and creating the new CFL package
- (2013) I. Borsi et al. JOURNAL OF HYDROLOGY
- Improving sub-grid scale accuracy of boundary features in regional finite-difference models
- (2012) Sorab Panday et al. ADVANCES IN WATER RESOURCES
- Evaluation of MODFLOW-LGR in Connection with a Synthetic Regional-Scale Model
- (2011) Troels N. Vilhelmsen et al. Groundwater
- HydroGeoSphere: A Fully Integrated, Physically Based Hydrological Model
- (2011) Philip Brunner et al. Groundwater
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