Prediction of silkworm cocoon yield in China based on Grey-Markov forecasting model

被引：0

作者：

Huang, Lingxia ^{[1
]}

Jin, Peihua ^{[1
]}

He, Yong ^{[2
]}

Lou, Chengfu ^{[1
]}

Huang, Min ^{[2
]}

Chen, Mingang ^{[1
]}

机构：

[1] Zhejiang Univ, Coll Anim Sci, Hangzhou 310029, Peoples R China

[2] Zhejiang Univ, Coll Biosyst Engn & Food Sci, Hangzhou 310029, Peoples R China

来源：

MICAI 2006: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2006年 / 4293卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The method of Grey prediction and Markov Chain prediction could be used for the prediction in time order. Their combination could be extensively applied in forecasting. In this paper, we studied the precisions of Grey-Markov forecasting model based on the original data of the silkworm cocoon yield in China from 1950 to 1999. The precisions of Grey-Markov forecasting model from 2000 to 2003 are 95.56%, 95.17% and 94.40% respectively, which are higher than GM (1, 1), and next to the Exponential Smoothing method and linear regression. The paper provided a scientific basis for the planned development of sericulture in China.

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页码：505 / +

页数：2

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