An Optimal Weighted Prediction Model to Forecast Grain Production Volumes in Jilin Province

被引：0
|
作者：
Wang Bo [1 ]
Gao Laibin [1 ]
机构：
[1] Jilin Agr Univ, Inst Informat Technol, Jilin 130118, Peoples R China
来源：
RECENT ADVANCE IN STATISTICS APPLICATION AND RELATED AREAS, PTS 1 AND 2 | 2011年
关键词：
Optimal weighted prediction; Grain output; Time series model; GM (1,1) forecast model;
D O I：
暂无
中图分类号：
O1 [数学]; C [社会科学总论];
学科分类号：
03 ; 0303 ; 0701 ; 070101 ;
摘要：
In the following research, the weights are based on the Module of Optimal Weighting and combining time series model and forecasting model GM (1, 1), using the 1952-2010 grain production statistics of Jilin province, established the grain yield of Jilin province for combination forecasting model. And predicting the the grain output of Jilin from 2011 to 2020, in 2011 for 31092.2 thousands tons, by 2020, achieve 41947.4 thousands tons, with an average annual growth rate for 3.38%.
引用
收藏
页码：1275 / 1279
页数：5
相关论文
共 45 条
  • [21] Variance Analysis of Grain Production Efficiency of Different Types of Grain Management Rural Households-Take Corn Farmers of Gongzhuling City in Jilin Province as a Case
    Jiang, Tianlong
    [J]. 2014 4TH INTERNATIONAL CONFERENCE ON EDUCATION AND EDUCATION MANAGEMENT (EEM 2014), PT 5, 2014, 67 : 110 - 113
  • [22] Prediction Model of Multiple Linear Regression Analysis in Grain Production
    Li, Zhuoshi
    Cao, Xuejun
    Ding, Xiaoqi
    Chen, Hang
    [J]. PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON INFORMATION ENGINEERING FOR MECHANICS AND MATERIALS, 2015, 21 : 1290 - 1293
  • [23] Prediction of Grain Yield in Henan Province Based on Grey BP Neural Network Model
    Li, Bingjun
    Zhang, Yifan
    Zhang, Shuhua
    Li, Wenyan
    [J]. DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2021, 2021
  • [24] Using grey dynamic model to analysis the influencing factors of grain production in Heilongjiang Province
    Zhang, Huiqin
    Lv, Jie
    [J]. 2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2015, : 3850 - 3854
  • [25] GS-SVR: Analysis and Prediction of Henan Province Grain Production Using Support Vector Regression
    Wu, Jiadi
    Wei, Yuanyuan
    Huang, He
    [J]. PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, : 2264 - 2268
  • [26] Prediction of Indian summer monsoon rainfall: a weighted multi-model ensemble to enhance probabilistic forecast skills
    Acharya, Nachiketa
    Chattopadhyay, Surajit
    Mohanty, U. C.
    Ghosh, Kripan
    [J]. METEOROLOGICAL APPLICATIONS, 2014, 21 (03) : 724 - 732
  • [27] Development of an Efficient Prediction Model for Optimal Design of Serial Production Lines
    Alkhalefah, Hisham
    Qudeiri, Jaber E. Abu
    Umer, Usama
    Abidi, Mustufa Haider
    Elkaseer, Ahmed
    [J]. IEEE ACCESS, 2021, 9 : 61807 - 61818
  • [28] A geographically weighted model of the regression between grain production and typical factors for the Yellow River Delta
    Yang, Yujian
    Tong, Xueqin
    Zhu, Jianhua
    [J]. MATHEMATICAL AND COMPUTER MODELLING, 2013, 58 (3-4) : 582 - 587
  • [29] Optimal time lags from causal prediction model help stratify and forecast nervous system pathology
    Bermperidis, Theodoros
    Rai, Richa
    Ryu, Jihye
    Zanotto, Damiano
    Agrawal, Sunil K.
    Lalwani, Anil K.
    Torres, Elizabeth B.
    [J]. SCIENTIFIC REPORTS, 2021, 11 (01)
  • [30] Optimal time lags from causal prediction model help stratify and forecast nervous system pathology
    Theodoros Bermperidis
    Richa Rai
    Jihye Ryu
    Damiano Zanotto
    Sunil K. Agrawal
    Anil K. Lalwani
    Elizabeth B. Torres
    [J]. Scientific Reports, 11
12345