摘要
针对影响水质评价效果的因子众多,通过应用粗集理论约简影响因子并提取核心因子,利用支持向量机模型进行回归分析进而识别水质等级。以济南市实测数据为例进行计算,并与模糊综合评价方法进行对比。结果表明,此模型识别的评价等级更准确、更科学,为水质评价提供了可供借鉴的新方法。
Many factors affect evaluation of water quality.This paper reduces influence factors and extracts key factors with the rough set theory.Regression analysis based on support vector machine is used to identify level of water quality.Taking the practical data in Jinan City for an example,the results are compared with those of fuzzy comprehensive evaluation method.The results show that the proposed evaluation grade is more accuracy and scientific.It provides new method for evaluation of water quality.
出处
《水电能源科学》
北大核心
2010年第5期26-28,共3页
Water Resources and Power
基金
北京物资学院科研基金资助项目(WYJD200902)
建设部2006年科学技术基金资助项目(06-K6-05)
北京市属高等学校人才强教计划基金资助项目(PHR200906210)
关键词
粗集理论
支持向量机
水质评价
属性约简
识别
rough set theory
SVM
evaluation of water quality
attribute reduction
discrimination
