西北大学主页平台管理系统张天龙--中文主页-- A novel approach for the quantitative analysis of multiple elements in steel based on laser-induced breakdown spectroscopy (LIBS) and random forest regression (RFR)

张天龙Tianlong Zhang

副教授

博士生导师硕士生导师
学位：博士
性别：男
出生日期：1987-06-08
毕业院校：西北大学
学历：博士研究生毕业
在职信息：在职
所在单位：化学与材料科学学院

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A novel approach for the quantitative analysis of multiple elements in steel based on laser-induced breakdown spectroscopy (LIBS) and random forest regression (RFR)

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影响因子：3.498
DOI码：10.1039/c4ja00217b
所属单位：西北大学化学与材料科学学院
发表刊物：JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY
刊物所在地：国外学术期刊
论文类型：期刊论文
论文编号：0267-9477
学科门类：理学
卷号：29
期号：12
页面范围：2323-2329
ISSN号：0267-9477
是否译文：否
收录刊物：SCI

附件：

01.pdf

上一条：Quantitative and classification analysis of slag samples by laser induced breakdown spectroscopy (LIBS) coupled with support vector machine (SVM) and partial least square (PLS) methods

下一条：Classification and discrimination of coal ash by laser-induced breakdown spectroscopy (LIBS) coupled with advanced chemometric methods

个人信息

张天龙Tianlong Zhang

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论文成果

A novel approach for the quantitative analysis of multiple elements in steel based on laser-induced breakdown spectroscopy (LIBS) and random forest regression (RFR)

附件：

01.pdf