Grey Prediction of China Grain Production with TEI@I Methodology

被引：0

作者：

Chen, Qiting ^{[1
]}

Zhang, Chao ^{[2
]}

Zhang, Zhuo ^{[1
]}

机构：

[1] Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing 211106, Jiangsu, Peoples R China

[2] Univ Chinese Acad Sci, Sch Management, Beijing 100190, Peoples R China

来源：

JOURNAL OF GREY SYSTEM | 2016年 / 28卷 / 01期

关键词：

Grey Prediction; Grain Production; TEI@I; BP Neural Network; Delphi Method;

D O I：

暂无

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

This paper adopts a novel methodology to predict China's grain production. Using a grey model to capture the main trend, this paper establishes a modified model of BP neural networks and then analyzes the irregular events and its influencing direction and degree with Delphi methods. By testing the validity of the final model, the result shows an encouraging conclusion that the model is effective and China's grain production will continue to increase in the next six years.

引用

页码：118 / 126

页数：9

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