FIELD: data processing; physics.
SUBSTANCE: invention relates to a rapid method for predicting fire-hazardous properties as the autoignition temperature of limiting aldehydes. Method is characterized by the use of molecular descriptors and artificial neural networks, the implementation of which is carried out by applying the “with the teacher” learning algorithm, providing analysis of the fire-hazardous properties of substances.
EFFECT: technical result consists in the possibility of determining the fire hazard indicators, in particular, the self-ignition temperature, and increasing the accuracy of the analysis.
1 cl, 7 tbl, 5 ex
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