Application of a combined forecasting model in the prediction of hull outer plate surface forming

Mapping Intimacies ◽

10.1109/ccdc52312.2021.9601955 ◽

2021 ◽

Author(s):

Chengwei Ge ◽

Liang Qi ◽

Chaochun Yu ◽

Yue Huang ◽

Jie Sun

Keyword(s):

Forecasting Model ◽

Plate Surface ◽

Outer Plate ◽

Combined Forecasting

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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 ◽

Author(s):

Xuechao Liao ◽

Zhenxing Liu ◽

Wanxiong Deng

Keyword(s):

Forecasting Model ◽

Two Stage ◽

Model Based ◽

Combined Forecasting

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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

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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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Erratum: “A novel combined forecasting model for short-term wind power prediction based on ensemble empirical mode decomposition and optimal virtual prediction” [J. Renewable Sustainable Energy 8, 013104 (2016)]

Journal of Renewable and Sustainable Energy ◽

10.1063/1.4942630 ◽

2016 ◽

Vol 8 (1) ◽

pp. 019902

Author(s):

Kaipei Liu ◽

Yachao Zhang ◽

Liang Qin

Keyword(s):

Empirical Mode Decomposition ◽

Sustainable Energy ◽

Ensemble Empirical Mode Decomposition ◽

Forecasting Model ◽

Power Prediction ◽

Mode Decomposition ◽

Wind Power Prediction ◽

Combined Forecasting

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Hourly cooling load prediction by a combined forecasting model based on Analytic Hierarchy Process

International Journal of Thermal Sciences ◽

10.1016/j.ijthermalsci.2004.02.009 ◽

2004 ◽

Vol 43 (11) ◽

pp. 1107-1118 ◽

Author(s):

Ye Yao ◽

Zhiwei Lian ◽

Shiqing Liu ◽

Zhijian Hou

Keyword(s):

Analytic Hierarchy Process ◽

Forecasting Model ◽

Cooling Load ◽

Load Prediction ◽

Analytic Hierarchy ◽

Model Based ◽

Combined Forecasting ◽

Hierarchy Process

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Statistical Data Combined Forecasting Model Based on Optimal Estimation of Error Value

Revista Tecnica De La Facultad De Ingenieria Universidad Del Zulia ◽

10.21311/001.39.5.22 ◽

2016 ◽

Keyword(s):

Statistical Data ◽

Optimal Estimation ◽

Forecasting Model ◽

Model Based ◽

Estimation Of Error ◽

Combined Forecasting

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Application of Combined Forecasting Model Based on Improved Grey Neural Networks in Regional Logistics Demand

10.1061/41139(387)30 ◽

2010 ◽

Author(s):

Zhenzhong Tian

Keyword(s):

Neural Networks ◽

Forecasting Model ◽

Regional Logistics ◽

Model Based ◽

Logistics Demand ◽

Combined Forecasting

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