摘要
针对虫害预测的模糊性、相关性、多变量等特点,采用数据挖掘技术建立了基于主成分分析的模糊聚类虫害预测模型,并以玉米螟为例,对虫害进行了合理分类及预测.结果表明,在虫害预测指标多、数据间存在一定相关性的情况下,使用该模型对虫害进行预测能取得比较好的效果.
This paper establishes a model for pests forecasting using fuzzy clustering based on principal component analysis. This model uses the technology of data mining and is connected with the characteristics of pests forecasting. It classifies and forecasts the pest exemplified the Furnacalis. This method can achieve good results in the cases that pests forecasting has more targets and that data is relevant.
出处
《广西工学院学报》
CAS
2009年第2期23-26,37,共5页
Journal of Guangxi University of Technology
基金
广西科学研究与技术开发计划项目(桂科攻0992006-13)资助
关键词
模糊聚类
主成分分析
虫害
预测
fuzzy clustering
principal component analysis
pest
forecasting
