FIELD: monitoring and measurement equipment.
SUBSTANCE: invention relates to an express method for predicting fire-hazardous properties, such as flash point, limit ketones. Method is characterized in that it uses molecular descriptors and artificial neural networks and is implemented by applying two learning algorithms, "backward error propagation" and "deep learning", providing an analysis of fire-hazardous properties of substances.
EFFECT: proposed method has better accuracy.
1 cl, 6 tbl, 4 ex
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