基于BFGS的中俄茶叶进出口量数学预测模型
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  • 英文篇名:Tea Exports and Imports Prediction of China and Russia Based on BFGS
  • 作者:丁雪 ; 陈彬 ; 施俊骋 ; 李海英
  • 英文作者:DING Xue;CHEN Bin;SHI Jun-cheng;LI Hai-ying;Yunnan Normal University;
  • 关键词:BFGS ; 拟牛顿法 ; 茶叶
  • 英文关键词:BFGS;;Quasi-Newton methods;;Tea
  • 中文刊名:YNSK
  • 英文刊名:Journal of Yunnan Normal University(Natural Sciences Edition)
  • 机构:云南师范大学;
  • 出版日期:2019-05-15
  • 出版单位:云南师范大学学报(自然科学版)
  • 年:2019
  • 期:v.39;No.189
  • 基金:国家自然科学基金资助项目(11301471)
  • 语种:中文;
  • 页:YNSK201903008
  • 页数:4
  • CN:03
  • ISSN:53-1046/N
  • 分类号:39-42
摘要
基于BFGS算法,建立了中国茶叶出口量与俄罗斯茶叶进口量之间关系的数学预测模型,将模型预测数据与真实数据进行对比,发现该算法收敛速度快、稳定性强,预测结果准确.
        Based on BFGS algorithm, models between China tea exports and Russia tea imports were established. Through the comparison and analysis of the fitting between the predictive data and the real data, it was found that the algorithm was effective, and had the advantages of fast convergence, strong stability and accurate prediction results.
引文
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    [5] 黄海,林穗华.几种修正拟牛顿法的比较[J].广西民族师范学院学报,2011,28(3):8-11.
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