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Application of Long Short-Term Memory Recurrent Neural Networks Based on the BAT-MCS for Binary-State Network Approximated Time-Dependent Reliability Problems

Application of Long Short-Term Memory Recurrent Neural Networks Based on the BAT-MCS for Binary-State Network Approximated Time-Dependent Reliability Problems

W. Yeh
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Papers citing "Application of Long Short-Term Memory Recurrent Neural Networks Based on the BAT-MCS for Binary-State Network Approximated Time-Dependent Reliability Problems"

5 / 5 papers shown
Title
Novel Algorithm for Computing All-Pairs Homogeneity-Arc Binary-State Undirected Network Reliability
Novel Algorithm for Computing All-Pairs Homogeneity-Arc Binary-State Undirected Network Reliability
W. Yeh
25
23
0
04 May 2021
Stacked LSTM Based Deep Recurrent Neural Network with Kalman Smoothing for Blood Glucose Prediction
Stacked LSTM Based Deep Recurrent Neural Network with Kalman Smoothing for Blood Glucose Prediction
Md Fazle Rabby
Yazhou Tu
Md. Imran Hossen
Insup Lee
Anthony Maida
X. Hei
49
118
0
18 Jan 2021
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
568
8,005
0
13 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
Deep Learning in Neural Networks: An Overview
Deep Learning in Neural Networks: An Overview
Jürgen Schmidhuber
HAI
246
16,377
0
30 Apr 2014