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西北工业大学 国内
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Machine learning method to predict dynamic compressive response of concrete-like material at high strain rates
Xu Long
, Ming hui Mao, Tian xiong Su,
Yu tai Su
, Meng ke Tian
力学与土木建筑学院
Liaoning Petrochemical University
Northwestern Polytechnical University Xian
Beijing Microelectronics Technology Institute
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探究 'Machine learning method to predict dynamic compressive response of concrete-like material at high strain rates' 的科研主题。它们共同构成独一无二的指纹。
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Engineering
Genetic Algorithm
100%
Finite Element Simulation
100%
High Strain Rate
100%
Machine Learning Method
100%
Split Hopkinson Pressure Bar
100%
Backpropagation Network
100%
Finite Element Analysis
50%
Lstm
50%
Mean Square Error
25%
Experimental Result
25%
Network Model
25%
Stress-Strain Curve
25%
Applicability
25%
Limited Number
25%
Dynamic Response
25%
Long Short-Term Memory
25%
Stress Wave
25%
Prediction Error
25%
Prediction Network
25%
Incident Bar
25%
Chemical Engineering
Learning System
100%
Long Short-Term Memory
100%
Neural Network
33%