化学模式识别及其在水质分类中的应用  

Chemical Pattern Recognition and its Application to the Classification of water Qualities

作　　者：卢伟[1] 陈国松[1] 张红漫[1] 张之翼[1] 蒋皎梅[1] 华毅超[1] 刘泼[1] 

机构地区：[1]南京工业大学理学院应用化学系,江苏南京210009

出　　处：《化工时刊》2004年第7期43-45,共3页Chemical Industry Times

摘　　要：本文简述了化学模式识别方法的原理和特点 ,着重论述了线性学习机方法。将该法用于南通和盐城两地的地表水水质分类 ,结果表明本文建立的方法识别率和预测准确率均达到 10 0 %。由于线性学习机具有自学习和自适应能力 ,可以较好地消除主观因素对分类的影响。In this paper,the principals and characteristics of chemical pattern recognition method were described.Among this method,Linear Learning Machine was emphasized.With its application to the surface water of Nantong and Yancheng.The result indicated recognition ratio and prediction ratio of the method reached 100% both.Because of its self-learning and self-adaptabity,LLM algorithm could remove the influence of the subjective factor on the classification well.

关 键 词：化学模式识别 性学 影响 线性 准确率 方法 水质 盐城 南通 预测 

分 类 号：X824[环境科学与工程—环境工程]