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.
作者
丁雪
陈彬
施俊骋
李海英
DING Xue;CHEN Bin;SHI Jun-cheng;LI Hai-ying(Yunnan Normal University,Kunming 650500,China)
出处
《云南师范大学学报(自然科学版)》
2019年第3期35-38,共4页
Journal of Yunnan Normal University:Natural Sciences Edition
基金
国家自然科学基金资助项目(11301471)