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大白菜是我国北方居民冬春季节的重要蔬菜之一,其生产与供应情况,直接影响着蔬菜市场的稳定和人们的生活。如果能对大白菜的上市量做出比较准确的预测,就可以采取一系列措施减少损失。利用灰色理论的GM(1,1)模型建立的趋势上市量模型y_N和气象上市量回归方程y_W,能够比较准确地对大白菜上市量进行预测,为有关蔬菜领导部门的决策提供可靠依据,对稳定冬春蔬菜市场和保证人们对蔬菜的需要具有重要意义。
Chinese cabbage is one of the important vegetables in winter and spring in northern China. Its production and supply directly affect the stability of the vegetable market and people’s life. If you can make a more accurate prediction of the Chinese cabbage market, you can take a series of measures to reduce losses. By using the GM (1,1) model of gray theory and the regression model y_N of meteorological quota, we can predict the market size of Chinese cabbage more accurately and provide a reliable basis for the decision-making of the leading department of vegetables. It is of great significance to stabilize the market of winter and spring vegetables and ensure that people need vegetables.