Spatial Combination Forecasting Model Based on Panel Data and Its Empirical Study

According to the individual forecasting of aviation oil consumption, with taking the minimum value of the angle between the actual value vector and the predicted value vector as a target, we established a combination forecasting model based on the vectorial angle cosine. Through the analysis of an actual example, from the perspective of the effect evaluation indicators of prediction reflect that this combination forecasting model is advantage compared to each single forecasting model.

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Combination Forecasting Model Based on Drift

2009 International Joint Conference on Computational Sciences and Optimization ◽

10.1109/cso.2009.26 ◽

2009 ◽

Cited By ~ 1

Author(s):

Meijuan Li ◽

Guohong Chen ◽

Zhibing Lin ◽

Binqing Cai

Keyword(s):

Forecasting Model ◽

Model Based ◽

Combination Forecasting ◽

Combination Forecasting Model

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Application and evaluation on combination forecasting model based on information entropy and Shapley value

2011 International Conference on Consumer Electronics, Communications and Networks (CECNet) ◽

10.1109/cecnet.2011.5768739 ◽

2011 ◽

Author(s):

Zheng Jian-hong ◽

Qiao Jin-you

Keyword(s):

Shapley Value ◽

Information Entropy ◽

Forecasting Model ◽

Model Based ◽

Combination Forecasting ◽

Combination Forecasting Model

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Research of combination forecasting model based on improved analytic hierarchy process

EURASIP Journal on Wireless Communications and Networking ◽

10.1186/s13638-018-1199-x ◽

2018 ◽

Vol 2018 (1) ◽

Cited By ~ 1

Author(s):

Tengfei Feng ◽

Xiaosheng Liu ◽

Yu Zhong ◽

Shibiao Liu

Keyword(s):

Analytic Hierarchy Process ◽

Forecasting Model ◽

Analytic Hierarchy ◽

Model Based ◽

Combination Forecasting ◽

Combination Forecasting Model ◽

Hierarchy Process ◽

Improved Analytic Hierarchy Process

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A variable-weight combination forecasting model based on GM(1,1) model and RBF neural network

Proceedings of 2013 2nd International Conference on Measurement, Information and Control ◽

10.1109/mic.2013.6758018 ◽

2013 ◽

Author(s):

Yan Feng ◽

Wang Jian-mei ◽

Xu Hai-mei

Keyword(s):

Neural Network ◽

Rbf Neural Network ◽

Forecasting Model ◽

Model Based ◽

Combination Forecasting ◽

Variable Weight ◽

Combination Forecasting Model

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Ship motion prediction of combination forecasting model based on adaptive variable weight

2015 34th Chinese Control Conference (CCC) ◽

10.1109/chicc.2015.7260259 ◽

2015 ◽

Cited By ~ 2

Author(s):

Peng Xiuyan ◽

Zhang Biao ◽

Rong Lihong

Keyword(s):

Ship Motion ◽

Motion Prediction ◽

Forecasting Model ◽

Model Based ◽

Combination Forecasting ◽

Variable Weight ◽

Combination Forecasting Model

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A New Nonlinear Combination Forecasting Model Based on RVM and Neural network

INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences ◽

10.4156/aiss.vol5.issue4.118 ◽

2013 ◽

Vol 5 (4) ◽

pp. 983-990

Author(s):

Wang Feng ◽

Wei Xiuran

Keyword(s):

Neural Network ◽

Forecasting Model ◽

Model Based ◽

Combination Forecasting ◽

Combination Forecasting Model

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On Multiplex Combination Forecasting Model Based on GA and ANN

2007 Chinese Control Conference ◽

10.1109/chicc.2006.4347258 ◽

2006 ◽

Author(s):

Li Junfeng ◽

Yang Aiping ◽

Dai Wenzhan ◽

Pan Haipeng

Keyword(s):

Forecasting Model ◽

Model Based ◽

Combination Forecasting ◽

Combination Forecasting Model

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Properties of Weighted Geometric Means Combination Forecasting Model Based on Absolute of Grey Incidence

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.490-495.442 ◽

2012 ◽

Vol 490-495 ◽

pp. 442-446 ◽

Cited By ~ 1

Author(s):

Li Hong Sun

Keyword(s):

Forecasting Model ◽

Sufficient Condition ◽

Redundant Information ◽

Geometric Means ◽

Model Based ◽

Combination Forecasting ◽

Forecasting Method ◽

Combination Forecasting Model

weighted geometric means combination forecasting is a kind of nonlinear combination forecasting model. Based on absolute of grey incidence, a weighted geometric means combination forecasting model is proposed. Superior combination forecasting, dominant forecasting method and redundant degree are put forward. Under certain conditions the sufficient condition of existence of non-inferior combination and superior combination forecasting are discussed, redundant information is pointed out in a judging theorem.

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