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基于多种数学模型下我国联合收割机保有量的预测

蒋丹 傅丽芳

农机化研究Issue(9):57-59,71,4.
农机化研究Issue(9):57-59,71,4.

基于多种数学模型下我国联合收割机保有量的预测

Prediction of a Variety of Mathematical Models of Combine Harvester Based on Market Demand

蒋丹 1傅丽芳2

作者信息

  • 1. 东北农业大学工程学院,哈尔滨 150030
  • 2. 东北农业大学理学院,哈尔滨 150030
  • 折叠

摘要

Abstract

Combine the market demand forecast is a complex nonlinear system , the grey prediction GM ( 1 , 1 ) model , BP neural network model and three polynomial time series model with the growth and volatility and incomplete information of complex economic system has certain practicability for development .Historical data using combine harvesters in China have weight , were predicted by the three models , so that the production of combine harvester manufacturer can grasp the market demand , not blind production , resulting in unnecessary losses andcan provide important reference to develop new production plan for the government to forecast economic prospects .

关键词

联合收割机/需求量/预测模型

Key words

combine harvester/demand/prediction model

分类

农业科技

引用本文复制引用

蒋丹,傅丽芳..基于多种数学模型下我国联合收割机保有量的预测[J].农机化研究,2014,(9):57-59,71,4.

基金项目

国家自然科学基金项目(71171044);黑龙江省教育厅科研项目(11551037);东北农业大学博士科研基金项目 ()

农机化研究

OA北大核心

1003-188X

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