物理化学学报2017，Vol.33Issue(5)：918-926,9.DOI:10.3866/PKU.WHXB201701163
Developing a Support Vector Machine Based QSPR Model to Predict Gas-to-Benzene Solvation Enthalpy of Organic Compounds
Developing a Support Vector Machine Based QSPR Model to Predict Gas-to-Benzene Solvation Enthalpy of Organic Compounds
GOLMOHAMMADI Hassan 1DASHTBOZORGI Zahra 1KHOOSHECHIN Sajad1
作者信息
摘要
关键词
Quantitative structure-property relationship/Gas-to-benzene solvation enthalpy/Descriptor/Enhanced replacement method/Support vector machineKey words
Quantitative structure-property relationship/Gas-to-benzene solvation enthalpy/Descriptor/Enhanced replacement method/Support vector machine引用本文复制引用
GOLMOHAMMADI Hassan,DASHTBOZORGI Zahra,KHOOSHECHIN Sajad..Developing a Support Vector Machine Based QSPR Model to Predict Gas-to-Benzene Solvation Enthalpy of Organic Compounds[J].物理化学学报,2017,33(5):918-926,9.
