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大中型拖拉机需求量混沌特征分析及预测时效研究
引用本文:黄玉祥,郭康权,朱瑞祥.大中型拖拉机需求量混沌特征分析及预测时效研究[J].农业工程学报,2007,23(8):135-139.
作者姓名:黄玉祥  郭康权  朱瑞祥
作者单位:西北农林科技大学机械与电子工程学院,杨凌,712100;西北农林科技大学机械与电子工程学院,杨凌,712100;西北农林科技大学机械与电子工程学院,杨凌,712100
基金项目:国家科技攻关项目;中日据点项目
摘    要:中国大中型拖拉机需求量是一个复杂的非线性系统。该文在分析大中型拖拉机需求特点的基础上,建立了基于混沌理论的农业装备需求特性分析及预测时效模型。采用中国1952至2004年大中型拖拉机需求量的实测数据,重点研究了其需求系统的相空间重构、关联维数的确定和柯尔莫哥洛夫熵的计算。结果表明:中国大中型拖拉机需求为混沌系统,影响需求量的因素有1~12个,最大可预测的时效为8a。

关 键 词:大中型拖拉机  需求分析  混沌理论  预测时效
文章编号:1002-6819(2007)8-0135-05
收稿时间:2006/11/10 0:00:00
修稿时间:3/7/2007 12:00:00 AM

Analysis of chaos characteristics and forecasting time-scale of the demand for big-medium-sized tractors
Huang Yuxiang,Guo Kangquan and Zhu Ruixiang.Analysis of chaos characteristics and forecasting time-scale of the demand for big-medium-sized tractors[J].Transactions of the Chinese Society of Agricultural Engineering,2007,23(8):135-139.
Authors:Huang Yuxiang  Guo Kangquan and Zhu Ruixiang
Institution:College of Mechanical and Electronic Engineering, Northwest Agriculture and Forestry University, Yangling 712100, China;College of Mechanical and Electronic Engineering, Northwest Agriculture and Forestry University, Yangling 712100, China;College of Mechanical and Electronic Engineering, Northwest Agriculture and Forestry University, Yangling 712100, China
Abstract:The demand for big-medium-sized tractors in China is a complicated non-linear system. Under the analysis of the characteristics of agricultural equipment demand system, a model of the demanding characteristics analysis and the research of predicting time-scale based on chaos theory were constructed. The paper focused on phase space reconstruction, correlation and Kolmogorov-sinaientropy applying the actual data of the domestic demand for big-medium-sized tractors from 1952~2004. The result showed that demand of agricultural equipment was chaos system, which indicated that there should have about 1~12 independent variables for describing demand change characteristics and the forecasting time-scale is about eight years.
Keywords:big-medium-sized tractors  demand analysis  chaos theory  forecasting time-scale
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