A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks 论文

2022Computer Methods in Applied Mechanics and Engineering引用 562

Model Reduction and Neural NetworksNuclear reactor physics and engineeringGaussian Processes and Bayesian Inference

人工智能 Gaussian Processes and Bayesian Inference Model Reduction and Neural Networks Nuclear reactor physics and engineering

相关技术:Model Reduction and Neural Networks Gaussian Processes and Bayesian Inference

A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks · 作者

Min Zhu

Lu Lu

Chenxi Wu

Yadhu Kartha

Qinyang Tan