摘要
结合陕北某县30年的气象数据,利用决策树的CART分类方法,建立预测气温的决策树模型,为提高预测的正确率还尝试了分季节的温度预测模型。通过反复试验得到各个季节的最佳气温预测模型,为气象预测研究提供了一种参考方法。
In this paper we use the meteorological data in a northern Shaanxi county in recent 30 years and the CART classification algorithm of the decision tree to establish a temperature-prediction decision tree model. A seasonal temperature-prediction model ＂is tentatively used to improve the prediction accuracy. The optimal temperature-prediction models for each season based on repeated experiments have provided a referential method for the meteorological prediction research.
出处
《计算机应用与软件》
CSCD
北大核心
2012年第8期141-144,共4页
Computer Applications and Software
基金
陕西省教育厅项目(11JK1068)
关键词
数据挖掘
气温预测
决策树
CART算法
Data mining Temperature prediction Decision tree CART Algorithm
