SelectNet : Self-paced learning for high-dimensional partial differential equations

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

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Mathematics

100
Partial Differentia... Mathematics
75
Sample Mathematics
50
Least Square Mathematics
50
Training Sample Mathematics
50
Selection Mathematics
25
Numerical Example Mathematics
25
Class Mathematics
25
Residuals Mathematics
25
Square Method Mathematics
25
Deep Neural Network Mathematics

Keyphrases

100
Self-paced Learning Keyphrases
100
High-dimensional Pa... Keyphrases
66
Partial Differentia... Keyphrases
66
Training Samples Keyphrases
66
Selection Network Keyphrases
66
Solution Network Keyphrases
33
Convergence Rate Keyphrases
33
Numerical Examples Keyphrases
33
Least Square Method Keyphrases
33
Training Stages Keyphrases
33
Network Application... Keyphrases
33
Parametrization Keyphrases
33
Residual Error Keyphrases
33
Least Squares Model Keyphrases
33
Learning Framework Keyphrases
33
Efficient Learning Keyphrases
33
Low Regularity Solu... Keyphrases
33
Deep Neural Network Keyphrases
33
Human Cognitive Pro... Keyphrases
33
Adaptively Weighted Keyphrases
33
Solution of Equatio... Keyphrases
33
Challenging Samples Keyphrases

Psychology

100
Training Psychology
33
Goal Psychology
33
Neural Network Psychology
33
Cognitive Process Psychology

INIS

100
learning INIS
100
convergence INIS
100
partial differentia... INIS
75
solutions INIS
50
least square fit INIS
25
speed INIS
25
errors INIS
25
neural networks INIS
25
humans INIS

Chemical Engineering

100
Deep Neural Network Chemical Engineering
Research OutputsResearch Output authored by SelectNet is tagged with the concept