The present invention is hydrogen (H), carbon (C), nitrogen (N), oxygen (O) , sulfur (S) such that prints the lower limit of the five pure organic compound composed of the elements and the number of atoms other than hydrogen consisting of a molecule of less than 25 volume percent (lower flammability limit volume percent) the mathematical model to predict with a high degree of accuracy, provides. The model is for a number of organic compounds is the experimental value of the lower flammable volume percent satisfying the above condition, known, various molecular presenter (molecular descriptor) some of the independent variables, the dependent variable volume percent lower flammable Multiple linear regression models in which many (multiple linear regression model) are among the best of the genetic algorithm (genetic algorithm) was determined after using this model to include molecular presenter of the value of the input received flammable Lower output volume percent that ANN (artificial neural network) to further improve the prediction performance was composed by multiple linear regression-ANN hybrid model (hybrid model) as QSPR (quantitative structure-property relationship) model and an example, the model to include molecular presenter If you know the specific value of any molecular way, gives a lower limit to predict the volume percentage of prints made purely as a molecular compound. As such, the present invention can maintain the cost and time savings by giving the experiment to provide a way to predict the value of a lower volume percent reliable printing for the organic compounds in a number of the experimental conditions is unknown, research and development of related industries lays effects such as to facilitate the work. ; 展开▼
