摘要
利用日照局历年来积累的出口煤炭的检测数据和出口企业自身检测的数据,用支持向量机技术分析其化学性质、物理性质、指标范围等情况,对检测的山东省出口煤炭的产地样品按决策树方法进行特性分类,并结合支持向量机方法实现了山东省15个煤炭出口产地或品牌的鉴别。该方法属于一种新的分类鉴别方法,为煤炭产地的鉴别提供了一个可借鉴的实例。
Coal export datas detected by Rizhao Entry-Exit Inspection and Quarantine Bureau and export enterprises are introduced. The chemical and physical property, index ranges of export coal are analyzed by support vector machine. Classify the detected export coal samples with the method of decision tree, combining support vector machine,15 kinds of Shandong coal exports origin or brand identification are achieved. This method is a new classification method, which provides a reference example to identify the coal producing area.
出处
《洁净煤技术》
CAS
2011年第4期113-116,123,共5页
Clean Coal Technology
基金
山东出入境检验检疫局科研计划(SK200627)
关键词
煤炭
支持向量机
产地鉴别
coal
support vector machine （ SV M）
origin identitication
