Computational and experimental approaches for investigating membranes diffusion behavior in model diesel fuel

DOI10.1007/s10910-018-0914-5zbMath1410.92184OpenAlexW2800317403MaRDI QIDQ1734889

Xingsheng Gu, Xiaoyi Liang, Zhen Yang, Changjian Ling

Publication date: 27 March 2019

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

Full work available at URL: https://doi.org/10.1007/s10910-018-0914-5

zbMATH Keywords

predictionsupport vector regressiondesulfurization selectivitydiesel components

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Classical flows, reactions, etc. in chemistry (92E20)

Uses Software

• LIBSVM

Cites Work

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• High dimensional model representation constructed by support vector regression. I. Independent variables with known probability distributions
• EPDM accelerated sulfur vulcanization: A kinetic model based on a genetic algorithm
• Combining artificial neural networks and experimental design to prediction of kinetic rate constants
• The dynamics of a changing range genetic algorithm
• Parallel computational strategies for structural optimization
• Asymptotic Behaviors of Support Vector Machines with Gaussian Kernel

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