An optimized grey dynamic model for forecasting the output of high-tech industry in China

DOI10.1155/2014/586284zbMath1407.90217OpenAlexW2011008649WikidataQ59066264 ScholiaQ59066264MaRDI QIDQ1718720

Zheng-Xin Wang, Ling-Ling Pei

Publication date: 8 February 2019

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/586284

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics in engineering and industry; control charts (62P30) Economic time series analysis (91B84) Management decision making, including multiple objectives (90B50)

Cites Work

• An extended grey forecasting model for omnidirectional forecasting considering data gap difference
• A research on the grey prediction model GM(1,n)
• Estimation for inner surface geometry of furnace wall using inverse process combined with grey prediction model
• Using genetic algorithms grey theory to forecast high technology industrial output
• A prediction method using the grey model GMC(1,\(n\)) combined with the grey relational analysis: a case study on internet access population forecast
• Grey dynamic model GM(1,N) for the relationship of cost and variability

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