Prediction of the impact sensitivity by neural networks

International audienceThe purpose of this work was the building of an efficient tool for the impact sensitivity prediction in order to minimize the risks during the handling of explosive compound

Prédiction de la sensibilité au choc des explosifs. Comparaison des approches statistique et neuronale

International audienceCette etude a eu pour objet la mise au point d'une methode de prediction de la sensibilité au choc des substances explosives ou non, afin de minimiser les risques d'accident en milieu industrie

Predicting the impact sensitivity of explosive molecules using neuromimetic networks

International audienceA new method for predicting the impact sensitivity of explosive molecules is presented. This method makes use of a network of formal neurons. The experiment uses 124 molecules belonging to different families. The molecular descriptors taken into account are the molecule's oxygen balance and the enumeration of certain groups. The results obtained are satisfactory: 80% of the molecules are correctly classed on a scale of four sensitivities. Comparison with a multivariate linear regression analysis gives a slight advantage to the neural network method