Method and system for predicting results of objective questions of law test and storage medium

The invention discloses a law test objective question score prediction method and system and a storage medium, and the method comprises the steps: obtaining test scores of preset m students in the previous a years, carrying out the preprocessing of the test scores, obtaining m score label vectors L, and enabling a and m to be positive integers; obtaining the average accuracy of each knowledge point of each student, the total lecture attending duration and the total question answering amount of each subject, and performing normalization processing to obtain m learning feature vectors F; according to the score label vector L and the learning feature vector F, constructing an examination score training sample; training is conducted through the test score training sample, a test score prediction model is obtained, the test score prediction model is a pulse MLP model, LIF neurons are adopted in forward propagation of the test score prediction model, and sigmoid neurons are adopted in back propagation of the test s