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Deep Learning Models for Time-History Prediction of Vehicle-Induced Bridge Responses: A Comparative Study
Huile Li
*
, Tianyu Wang,
Judy P. Yang
, Gang Wu
*
此作品的通信作者
土木工程學系
研究成果
:
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同行評審
29
引文 斯高帕斯(Scopus)
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Keyphrases
Convolutional Neural Network
100%
Bridge Response
100%
Deep Learning Model
100%
Time History Response
100%
Predictive Models
66%
Vehicle-bridge Interaction System
66%
Deep Feedforward Neural Network
66%
Vehicle-bridge Interaction
66%
Long Short-term Memory Network
66%
Prediction Accuracy
33%
Neural Network
33%
Fully Connected
33%
Network Architecture
33%
Vehicle Model
33%
Governing Equation
33%
System Architecture
33%
Training Data
33%
Moving Vehicle
33%
Surface Condition
33%
Bridge Design
33%
Interaction Network
33%
Interaction Analysis
33%
Feedforward Neural Network
33%
Training Time
33%
Deep Learning Architectures
33%
Operation Maintenance
33%
Deep Learning Algorithm
33%
Bridge Surface
33%
Bridge Vibration
33%
Vehicular Load
33%
Engineering
Time History
100%
Deep Learning Method
100%
Feedforward
60%
Convolutional Neural Network
60%
Lstm
40%
Metrics
20%
Parametric Study
20%
Input Feature
20%
Surface Condition
20%
Bridge Design
20%
Maintenance Operation
20%
Bridge Surface
20%