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A Combined Forecasting Model for Passenger Flow Based on GM and ARMA
International Journal of Hybrid Information Technology
◽
10.14257/ijhit.2016.9.2.19
◽
2016
◽
Vol 9
(2)
◽
pp. 215-226
◽
Cited By ~ 8
Author(s):
Yunjian Jia
◽
Peihua He
◽
Shuguang Liu
◽
Lei Cao
Keyword(s):
Forecasting Model
◽
Passenger Flow
◽
Combined Forecasting
Download Full-text
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Short‐term wind speed multistep combined forecasting model based on two‐stage decomposition and LSTM
Wind Energy
◽
10.1002/we.2613
◽
2021
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Author(s):
Xuechao Liao
◽
Zhenxing Liu
◽
Wanxiong Deng
Keyword(s):
Wind Speed
◽
Forecasting Model
◽
Short Term
◽
Two Stage
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Model Based
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Combined Forecasting
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A Metro Traction Power Load Forecasting Model Based on Dynamic Passenger Flow
10.1109/cieec50170.2021.9510353
◽
2021
◽
Author(s):
Wu Zi Yu
◽
Zhao Xing Dong
◽
Gao Hai Chun
Keyword(s):
Load Forecasting
◽
Forecasting Model
◽
Passenger Flow
◽
Model Based
◽
Power Load
◽
Power Load Forecasting
◽
Traction Power
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A Time Series Combined Forecasting Model Based on Prophet-LGBM
10.1145/3469213.3470280
◽
2021
◽
Author(s):
Siyang Xu
◽
Chunyan Han
◽
Chunlei Ran
Keyword(s):
Time Series
◽
Forecasting Model
◽
Model Based
◽
Combined Forecasting
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Combined Forecasting Model Method Based on Python and Artificial Intelligence Algorithm
Application of Intelligent Systems in Multi-modal Information Analytics - Advances in Intelligent Systems and Computing
◽
10.1007/978-3-030-74811-1_91
◽
2021
◽
pp. 636-643
Author(s):
Wanchang Shu
Keyword(s):
Artificial Intelligence
◽
Forecasting Model
◽
Model Method
◽
Intelligence Algorithm
◽
Artificial Intelligence Algorithm
◽
Combined Forecasting
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Combined Forecasting Model of Network Security Situation Based on Information Fusion
2019 International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM)
◽
10.1109/aiam48774.2019.00063
◽
2019
◽
Author(s):
Yong Peng
◽
Jianhuan Huang
◽
Zhe Wang
Keyword(s):
Network Security
◽
Information Fusion
◽
Forecasting Model
◽
Combined Forecasting
Download Full-text
Modified Bus Passenger Flow Forecasting Model Based on Integrating ARIMA with Neural Network
CICTP 2015
◽
10.1061/9780784479292.119
◽
2015
◽
Cited By ~ 1
Author(s):
Jing Teng
◽
Sijin Chen
Keyword(s):
Neural Network
◽
Forecasting Model
◽
Passenger Flow
◽
Model Based
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N days average volume based ARIMA forecasting model for Shanghai metro passenger flow
2010 International Conference on Artificial Intelligence and Education (ICAIE)
◽
10.1109/icaie.2010.5641088
◽
2010
◽
Author(s):
Hai-yan Zhu
Keyword(s):
Forecasting Model
◽
Average Volume
◽
Passenger Flow
◽
Shanghai Metro
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Combined Forecasting Model of Traffic Flow Based on DGM(1,1) and GRNN
2017 International Conference on Computing Intelligence and Information System (CIIS)
◽
10.1109/ciis.2017.17
◽
2017
◽
Author(s):
Zhiheng Yu
◽
Kecheng Liu
◽
Chengli Zhao
◽
Ying Liu
Keyword(s):
Traffic Flow
◽
Forecasting Model
◽
Combined Forecasting
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The Combined Forecasting Model of Discrete Verhulst-BP Neural Network Based on Linear Time-Varying
TELKOMNIKA Indonesian Journal of Electrical Engineering
◽
10.11591/telkomnika.v12i4.4938
◽
2014
◽
Vol 12
(4)
◽
Author(s):
Shang Hongchao
◽
Long Xia
◽
He Tingjie
Keyword(s):
Neural Network
◽
Bp Neural Network
◽
Linear Time
◽
Forecasting Model
◽
Time Varying
◽
Combined Forecasting
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Empirical mode decomposition based long short-term memory neural network forecasting model for the short-term metro passenger flow
PLoS ONE
◽
10.1371/journal.pone.0222365
◽
2019
◽
Vol 14
(9)
◽
pp. e0222365
◽
Cited By ~ 5
Author(s):
Quanchao Chen
◽
Di Wen
◽
Xuqiang Li
◽
Dingjun Chen
◽
Hongxia Lv
◽
...
Keyword(s):
Neural Network
◽
Empirical Mode Decomposition
◽
Short Term Memory
◽
Forecasting Model
◽
Short Term
◽
Term Memory
◽
Passenger Flow
◽
Mode Decomposition
◽
Long Short Term Memory
Download Full-text
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