摘要
在分析神经网络用来预测的特点基础上,采用BP神经网络方法对浙江省未来若干年的茶叶产量进行预测,并将其预测结果与采用灰色系统方法预测的结果进行比较分析,表明该方法的预测效果较好,可以用来对经济作物的产量进行中短期预测.图1,表4,参4.
The forecasting method based on BP neural network and its character are provided, and the tea yield of Zhejiang Province is forecasted by this method. The forecasting results shows that this method is better than other traditional methods such as grey system method. So this method is fit to forecast the yield of products.
出处
《农业系统科学与综合研究》
CSCD
北大核心
1998年第4期261-263,共3页
System Sciemces and Comprehensive Studies In Agriculture
