Quantitative structure property relationship schemes for estimation of autoignition temperatures of organic compounds

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@Article{DASHTI:2020:JML,

• author = "Amir Dashti and Mojtaba Jokar and Farid Amirkhani and Amir H. Mohammadi",
• title = "Quantitative structure property relationship schemes for estimation of autoignition temperatures of organic compounds",
• journal = "Journal of Molecular Liquids",
• volume = "300",
• pages = "111797",
• year = "2020",
• ISSN = "0167-7322",
• DOI = "10.1016/j.molliq.2019.111797",
• URL = "http://www.sciencedirect.com/science/article/pii/S0167732219330107",
• keywords = "genetic algorithms, genetic programming, Autoignition temperature, QSPR, ANFIS",
• abstract = "We have extended a quantitative structure-property relationship (QSPR) scheme to estimate the auto-ignition temperatures (AIT) of organic compounds by employing GA-ANFIS, PSO-ANFIS, DE-ANFIS and GP methods. The average absolute relative deviations (percentAARD) are 7.96, 6.29, 8.85 and 8.26, respectively. The range of these values appears to match that of experimental error in AIT measurements, suggesting strong models. For organic compounds, the AIT can be estimated using the above-mentioned methods, from molecular structure. This goal is possible using only 9 theoretical descriptors",

}

Genetic Programming entries for Amir Dashti Mojtaba Jokar Farid Amirkhani Amir H Mohammadi

Citations