标题:An Empirical Study on the Rate of Regional Production Insurance: A Case of Wheat in Shandong Province
作者:Zhao, Mingqing ;Li, Guiwei
通讯作者:Li, Guiwei
作者机构:[Zhao, Mingqing ;Li, Guiwei ] College of Mathematics and System Science, Shandong University of Science and Technology, Qingdao, Shandong, China
会议名称:2nd Annual International Conference on Data Science and Business Analytics, ICDSBA 2018
会议日期:September 21, 2018 - September 23, 2018
来源:Proceedings - 2nd International Conference on Data Science and Business Analytics, ICDSBA 2018
出版年:2018
页码:406-410
DOI:10.1109/ICDSBA.2018.00083
摘要:the comprehensive utilization of wavelet analysis (WT), NAR neural network and kernel density estimation (KDE) method is used to determine the regional production insurance premium in Shandong province. The empirical results show that the NAR neural network has better effect on the trend yield, and it can effectively improve the accuracy of crop rate determination. The wheat insurance premium calculated under the level of 85%-95% protection is lower than the current rate in Shandong.
© 2018 IEEE.
收录类别:EI
资源类型:会议论文
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