Establishing quantitative structure tribo-ability relationship model using Bayesian regularization neural network

BPNN–QSTR Friction Model for Organic Compounds as Potential Lubricant Base Oils

(2016) Xinlei Gao et al.   JOURNAL OF TRIBOLOGY-TRANSACTIONS OF THE ASME

A Three-Dimensional Quantitative Structure Tribo-Ability Relationship Model

(2015) Xinlei Gao et al.   JOURNAL OF TRIBOLOGY-TRANSACTIONS OF THE ASME

A Quantitative Structure Tribo-Ability Relationship Model for Ester Lubricant Base Oils

(2015) Xinlei Gao et al.   JOURNAL OF TRIBOLOGY-TRANSACTIONS OF THE ASME

Estimating antiwear properties of lubricant additives using a quantitative structure tribo-ability relationship model with back propagation neural network

(2012) Kang Dai et al.   WEAR

Determination and prediction of xenoestrogens by recombinant yeast-based assay and QSAR

(2009) Fei Li et al.   CHEMOSPHERE

Synthesis and QSAR evaluation of 2-(substituted phenyl)-1H-benzimidazoles and [2-(substituted phenyl)-benzimidazol-1-yl]-pyridin-3-yl-methanones

(2008) Deepika Sharma et al.   EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY

Docking, 3D-QSAR studies and in silico ADME prediction on c-Src tyrosine kinase inhibitors

(2008) Cristina Tintori et al.   EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY