Predicting specific surface areas of layered double hydroxides based on support vector regression integrated with a residual bootstrapping method

DOI10.1007/S10910-018-0889-2zbMath1394.92151OpenAlexW2793387585WikidataQ130208114 ScholiaQ130208114MaRDI QIDQ1649174

Mingtong Chen, Dongping Chang, Xiuyun Zhai, Wen-Cong Lu

Publication date: 5 July 2018

Published in: Journal of Mathematical Chemistry (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10910-018-0889-2

zbMATH Keywords

support vector regressionlayered double hydroxidesresidual bootstrappingspecific surface areas

Mathematics Subject Classification ID

Molecular structure (graph-theoretic methods, methods of differential topology, etc.) (92E10)

Cites Work

• QSAR modeling of measured binding affinity for fullerene-based HIV-1 PR inhibitors by CORAL
• Practical selection of SVM parameters and noise estimation for SVM regression
• 10.1162/15324430152733142

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