遗传聚类算法在污水处理异常数据分析中的应用  

APPLICATION OF GENETIC CLUSTERING ALGORITHM TO ABNORMAL DATA ANALYSIS IN WASTEWATER TREATMENT

作　　者：陆林花[1] 

机构地区：[1]福州大学阳光学院,福建福州350015

出　　处：《计算机应用与软件》2011年第6期199-201,共3页Computer Applications and Software

摘　　要：为了识别污水处理数据中的异常数据,应用了一种基于最近邻聚类和遗传优化算法的异常检测算法。算法采用基于距离的异常因子来度量异常数据的异常程度。通过分析异常类别的数据,建立故障诊断的规则。实验结果表明,该方法能够有效地检测中污水处理数据中的异常数据。In order to identify the abnormal data from wastewater treatment history dataset,an abnormity detection algorithm based on the nearest neighbor clustering and genetic optimization algorithm is practiced.The algorithm applies distance-based outlier factor to measure the abnormity degree of an outlier.By analyzing the abnormal data,a fault diagnosis rule is established.Experimental results show that the method can effectively detect abnormal data in wastewater treatment history dataset.

关 键 词：最近邻聚类 遗传算法 异常因子 故障规则 污水处理 

分 类 号：TP[自动化与计算机技术]