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A novel approach to predict network reliability for multistate networks by a deep neural network
Cheng Hao Huang, Ding Hsiang Huang,
Yi Kuei Lin
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國立陽明交通大學
工業工程與管理學系
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引文 斯高帕斯（Scopus）
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Multistate Network
100%
Deep Neural Network
100%
Network Reliability
100%
Deep Learning Methods
40%
Demand Level
40%
Computer System
20%
Network Model
20%
Minimal Path
20%
Hyperparameters
20%
Computational Efficiency
20%
Image Recognition
20%
Practical Implementation
20%
Associated Functions
20%
Manufacturing Systems
20%
Network Information
20%
Large-scale Networks
20%
Stochastic Capacity
20%
Real-world Systems
20%
Parameter Adjustment
20%
Autonomous Driving
20%
Bayesian Optimization
20%
D-MP
20%
Bridge Network
20%
MP Algorithm
20%
Engineering
Reliability Network
100%
Deep Neural Network
100%
Network Model
80%
Deep Learning Method
40%
Nodes
20%
Computer System
20%
Minimal Path
20%
Input Data
20%
Gas Fuel Manufacture
20%
Image Recognition
20%
Computational Efficiency
20%
Scale Network
20%
Learning Approach
20%
Adjustment Parameter
20%
Information Network
20%
Computer Science
Deep Neural Network
100%
Network Reliability
100%
Neural Network Model
80%
Deep Learning Method
40%
Computational Efficiency
20%
Computer System
20%
Learning Approach
20%
Information Network
20%
Autonomous Driving
20%
Related Function
20%
Parameter Recognition
20%
Leaning Parameter
20%
Chemical Engineering
Deep Neural Network
100%
Deep Learning Method
40%