LSTM and Statistical Learning for Dynamic Inferential Modeling with Applications to a 660MW Boiler

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

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Material Science

100
Inferential Sensor Material Science

Mathematics

100
Support Vector Mach... Mathematics
100
Partial Least Squar... Mathematics
100
Lasso Regression Mathematics
100
Deep Learning Metho... Mathematics
50
Superiority Mathematics
50
Deep Neural Network Mathematics
50
Nonlinearity Mathematics
50
Lstm Mathematics

Computer Science

100
Long Short-Term Mem... Computer Science
33
Least Squares Metho... Computer Science
33
Support Vector Regr... Computer Science
33
Selection Operator Computer Science
16
Experimental Result Computer Science
16
In-Process Computer Science
16
Data Handling Computer Science
16
Memory Performance Computer Science
16
Deep Neural Network Computer Science
16
Deep Learning Model Computer Science
16
Memory Structure Computer Science
16
Deep Learning Metho... Computer Science
16
Lstm Computer Science

Engineering

100
Boiler Engineering
100
Long Short-Term Mem... Engineering
33
Least Square Engineering
33
Least Absolute Shri... Engineering
33
Support Vector Mach... Engineering
33
Deep Learning Metho... Engineering
16
Experimental Result Engineering
16
Industrial Boiler Engineering
16
Memory Gate Engineering
16
Inferential Sensor Engineering
16
Term Memory Perform... Engineering
16
Nonlinearity Engineering
16
Deep Neural Network Engineering
16
Lstm Engineering

Chemical Engineering

100
Long Short-Term Mem... Chemical Engineering
28
Support Vector Mach... Chemical Engineering
28
Deep Learning Metho... Chemical Engineering
14
Deep Neural Network Chemical Engineering
Research OutputsResearch Output authored by LSTM and Statistical Learning for Dynamic Inferential Modeling with Applications to a 660MW Boiler is tagged with the concept