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基于GM(1,1)模型的浙江省农机总动力预测分析

Predict and Analysis of Agricultural Machinery Total Power in Zhejiang Province Based on GM (1, 1)

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【作者】 洪一前张光明金定

【Author】 HONG Yi-qian1, ZHANG Guang-ming2, JIN Ding3 (1.Jinhua City Agricultural Machinery Manage Station, Jinhua 321025, China; 2.Zhejiang Province Dongyang City Mazhai Town Agricultural Machinery Manage Stage, Dongyang 322125, China; 3.Zhejiang Province Hangzhou City Agricultural Mechanization Technology, Hangzhou 321029, China)

【机构】 金华市农机管理站东阳市马宅镇农机管理站杭州市农机化技术学校 浙江金华321025浙江东阳322125杭州321029

【摘要】 农机总动力是反映和评价农业机械化水平的一个重要指标。农机总动力的变化受自然、经济、技术和社会等多种灰色因素影响。为此,借助灰色系统理论,利用浙江省农机总动力的历史数据,建立了GM(1,1)模型预测模型,并据此对浙江省农机总动力进行预测分析,为制定农机动力发展规划提供了依据。

【Abstract】 Agricultural machinery total power is an important index to reflex and evaluate the level of agricultural mechanization, and influenced by many grey factors such as nature, economy, technology, community etc. According to total power of agriculture machinery data from 1982 to 2003 in Zhejiang Province, the GM (1, 1) model for predicting total power was presented based on the gray system theories. Then, total power of agriculture machinery was from 2004 to 2015 predicted in Zhejiang Province, and it would provide some reference to the development and program for power of agriculture machinery.

【基金】 浙江省教育厅资助项目(20061337)
  • 【文献出处】 农机化研究 ,Journal of Agricultural Mechanization Research , 编辑部邮箱 ,2008年01期
  • 【分类号】F323.3;F224
  • 【被引频次】10
  • 【下载频次】185
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