Abstract
The article presents an original solution to the problem of fire hazard indicators of oil products determining using molecular descriptors and artificial neural networks. The modelling of the forecasting process was carried out on the basis of a neural network training algorithm with a teacher and an error back propagation algorithm. The resulting model makes it possible to determine the fire hazard properties of substances in real time without time span and other costs.
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