1992
DOI: 10.1021/ie00007a027
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Estimation of autoignition temperatures of hydrocarbons, alcohols, and esters from molecular structure

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Cited by 44 publications
(34 citation statements)
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“…All other models show deviations higher than the GCM + ANN + PSO technique, with an AAE higher than 16 K and an AARD greather than 3 %. The low deviations found with the proposed GCM + ANN + PSO model (AAE of 10 K with AAE max a little higher than 30 K, AARD of 1.6 % and AARD max a little higher than 7 %), indicate that it can estimate the AIT of organic compounds with better accuracy than other methods available in the literature [1][2][3][4][5][6][7][8][9][10][11][12]. These results represent a tremendous increase in accuracy to predict this important property, and show that the incorporation of the descriptors: M (size) and μ (polarity and symmetry), for distinguishing between the different physical and chemical charasteristics of the substances was crucial.…”
Section: Training and Predictionmentioning
confidence: 86%
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“…All other models show deviations higher than the GCM + ANN + PSO technique, with an AAE higher than 16 K and an AARD greather than 3 %. The low deviations found with the proposed GCM + ANN + PSO model (AAE of 10 K with AAE max a little higher than 30 K, AARD of 1.6 % and AARD max a little higher than 7 %), indicate that it can estimate the AIT of organic compounds with better accuracy than other methods available in the literature [1][2][3][4][5][6][7][8][9][10][11][12]. These results represent a tremendous increase in accuracy to predict this important property, and show that the incorporation of the descriptors: M (size) and μ (polarity and symmetry), for distinguishing between the different physical and chemical charasteristics of the substances was crucial.…”
Section: Training and Predictionmentioning
confidence: 86%
“…Molecular mass and dipole moment were chosen to characterize the different molecules [13][14][15][16][17]. Note that in other study for estimating the AIT [5][6][7][8][9][10][11][12], the authors compare their models with a great number of experimental data points for different substances. The problem is that the reliability of these experimental data was never established.…”
Section: Training and Predictionmentioning
confidence: 99%
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“…This algorithm has been used in many QSAR/ QSPR studies [60,[101][102][103][104][105][106][107][108][109][110][111][112].…”
Section: 25leaps-and-bounds Methodsmentioning
confidence: 99%