Multiobjective Feature Selection Approach to Quantitative Structure Property Relationship Models for Predicting the Octane Number of Compounds Found in Gasoline - 石油分子科学及分子管理技术课题组 | LabXing

array(2) { ["lab"]=> string(3) "432" ["publication"]=> string(4) "2253" } Multiobjective Feature Selection Approach to Quantitative Structure Property Relationship Models for Predicting the Octane Number of Compounds Found in Gasoline - 石油分子科学及分子管理技术课题组 | LabXing

石油分子科学及分子管理技术课题组

简介

关注

Multiobjective Feature Selection Approach to Quantitative Structure Property Relationship Models for Predicting the Octane Number of Compounds Found in Gasoline

2017

期刊 Energy & Fuels

作者 Zhefu Liu · Linzhou Zhang · Ali Elkamel · Dong Liang · Suoqi Zhao · Chunming Xu · Stanislav Y. Ivanov · Ajay K. Ray

下载全文

卷 31
期 6
页码 5828-5839
American Chemical Society (ACS)
ISSN: 0887-0624
DOI: 10.1021/acs.energyfuels.6b03251

LabXing 上可以免费创建课题组网站