期刊论文

Dai Yi-min

英文

中南大学学报(英文版)

2095-2899

2015

22

1

30-36

10.1007/s11771-015-2491-0

Projects（21376031,21075011）supported by the National Natural Science Foundation of China； Project（2012GK3058）supported by the Foundation of Hunan Provincial Science and Technology Department,China； Project supported by the Postdoctoral Science Foundation of Central South University,China； Project（2014CL01）supported by the Foundation of Hunan Provincial Key Laboratory of Materials Protection for Electric Power and Transportation,China； Project supported by the Innovation Experiment Program for University Students of Changsha University of Science and Technology,China；

本校为其他机构

Flash point is a primary property used to determine the fire and explosion hazards of a liquid. New group contribution-based models were presented for estimation of the flash point of alkanes by the use of multiple linear regression (MLR) and artificial neural network (ANN). This simple linear model shows a low average relative deviation (AARD) of 2.8% for a data set including 50 (40 for training set and 10 for validation set) flash points. Furthermore, the predictive ability of the model was evaluated using LOO cross validation. The results demonstrate ANN model is clearly superior both in fi...