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Application of Neural Network Entropy Algorithm and Convolution Neural Network for Structural Health Monitoring
Tzu Kang Lin
, Yi Ting Lin
, Kai Wei Kuo
土木工程學系
研究成果
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Conference contribution
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深入研究「Application of Neural Network Entropy Algorithm and Convolution Neural Network for Structural Health Monitoring」主題。共同形成了獨特的指紋。
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Keyphrases
Convolution Neural Network
100%
Structural Health Monitoring
100%
Steel Frame
100%
Neural Network Applications
100%
Entropy Algorithm
100%
Neural Network Entropy
100%
Entropy Value
75%
Convolutional Neural Network
50%
Neural Network Model
50%
SHM System
50%
Damage Features
50%
Training Process
25%
Neural Network
25%
Misjudgment
25%
Numerical Simulation
25%
Operation Speed
25%
Accuracy Rate
25%
Failure Mode
25%
Image Data
25%
Earthquake Engineering
25%
Structural Health Monitoring System
25%
National Center
25%
Experimental Verification
25%
Image Processing
25%
Entropy Analysis
25%
Human Factors
25%
Failure Time
25%
Numerical Model
25%
Simulation Verification
25%
Entropy Change
25%
Damage Area
25%
Failure Cases
25%
Number of Parameters
25%
Acceleration Signal
25%
Heat Map
25%
Automatic Interpretation
25%
Confusion Matrix
25%
State-space Method
25%
Neural Network Analysis
25%
Failure Experiment
25%
Engineering
Structural Health Monitoring
100%
Steel Frame
100%
Convolutional Neural Network
100%
Network Model
50%
Test Result
25%
Speed Operation
25%
Image Processing
25%
Failure Mode
25%
Input Data
25%
Electric Network Analysis
25%
Health Monitoring System
25%
Earthquake Engineering
25%
Image Data
25%
Numerical Model
25%
Ergonomics
25%
Damage Area
25%
Confusion Matrix
25%
State-Space Methods
25%