HIERARCHICAL GROUP CONSTRUCTION-BASED METHOD FOR PREDICTING PURE COMPONENT REFINING PROPERTIES

Disclosed is a hierarchical group construction-based method for predicting pure component refining properties, the method comprising: predicting an octane number and a cetane number of pure component compounds in a petroleum product, performing hierarchical construction by means of component feature sets, introducing hierarchical group construction to prevent the redundancy of the feature sets, introducing Bayes' rule when a third hierarchical component descriptor is added into the feature sets, so that posterior probability distribution estimation can be performed on the feature sets, and selecting the feature sets which have higher posterior probability rather than solely focusing on prediction precision. On the basis of the foregoing, Bayes' rule is introduced again, so that posterior probability distribution estimation may be performed on the final model, and the risk of the final prediction model overfitting is prevented. The present invention may be applied to crude oil and product blending units in the