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基于主成份分析的模糊聚类虫害预测模型研究
引用本文:韦艳玲. 基于主成份分析的模糊聚类虫害预测模型研究[J]. 广西工学院学报, 2009, 20(2): 23-26,37
作者姓名:韦艳玲
作者单位:柳州职业技术学院,信息工程系,广西,柳州,545006
基金项目:广西科学研究与技术开发计划项目 
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.

关 键 词:模糊聚类  主成分分析  虫害  预测

Pests Forecasting Using Fuzzy Clustering Based on Principal Component Analysis
WEI Yan-ling. Pests Forecasting Using Fuzzy Clustering Based on Principal Component Analysis[J]. Journal of Guangxi University of Technology, 2009, 20(2): 23-26,37
Authors:WEI Yan-ling
Affiliation:Department of Information Engineering;Liu Zhou Vocational & Technical College;LiuZhou 545006;China
Abstract: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.
Keywords:sustained-release tablet  andrographolide  releasing rate  HPLC  Yujie Qinhuo tablet
本文献已被 CNKI 维普 万方数据 等数据库收录!
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