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A cusp-capturing PINN for elliptic interface problems
Yu Hau Tseng,
Te Sheng Lin
*
, Wei Fan Hu, Ming Chih Lai
*
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應用數學系
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引文 斯高帕斯(Scopus)
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Keyphrases
Cusp
100%
Elliptic Interface Problem
100%
Physics-informed Neural Networks
100%
Network Model
40%
Prediction Accuracy
20%
Neural Network
20%
Numerical Results
20%
Numerical Experiments
20%
Supervised Learning
20%
Learning Task
20%
Training Data
20%
Level Set Function
20%
Loss Function
20%
First Derivative
20%
Differential Equations
20%
Hidden Layer
20%
Irregular Domain
20%
Number of Neurons
20%
Solution Properties
20%
Discontinuous Coefficients
20%
Meshless
20%
Shallow Network
20%
Physics-informed
20%
Neural Network Representation
20%
Engineering
Network Model
100%
Physics Informed Neural Network
100%
Numerical Experiment
50%
Level Set Function
50%
Loss Function
50%
Data Point
50%
Hidden Layer
50%
Interface Condition
50%
Additional Feature
50%
Learning Task
50%
Solution Property
50%
Boundary Condition
50%
Computer Science
Neural Network
100%
Physics-Informed Neural Network
100%
Prediction Accuracy
50%
Supervised Learning
50%
Approximation (Algorithm)
50%
Traditional Method
50%
Training Data Point
50%
Level Set Function
50%
Boundary Condition
50%