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A novel classification method combining phase-field and DNN
Jian Wang
, Ziwei Han
, Wenjing Jiang
,
Junseok Kim
*
*
Corresponding author for this work
Research output
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Contribution to journal
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Article
›
peer-review
14
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Keyphrases
Classification Methods
100%
Phase Field
100%
Novel Classification
100%
Deep Neural Network
100%
Output Value
75%
Classification Results
50%
Phase-field Model
37%
Brain MRI
12%
Training Set
12%
Large Values
12%
Numerical Experiments
12%
Classification Accuracy
12%
Activation Function
12%
Binary Classification
12%
Output Vector
12%
Tolerance Value
12%
Output Distribution
12%
Handwritten Digits
12%
MNIST
12%
Sigmoid Function
12%
Multi-classification Problem
12%
Mathematics
Phase Field
100%
Classification Method
100%
Deep Neural Network
100%
Network Model
25%
Numerical Experiment
12%
Experimental Data
12%
Probability Theory
12%
Classification Problem
12%
Sigmoid Function
12%
Binary Classification
12%
Training Set
12%
Computer Science
Classification Method
100%
Deep Neural Network
100%
classification result
50%
Neural Network Model
25%
Classification Accuracy
12%
Classification Problem
12%
Sigmoid Function
12%
Activation Function
12%
Binary Classification
12%
handwritten digit
12%
Material Science
Phase Field Model
100%
Magnetic Resonance Imaging
33%