System Design of Student Self-Realization Ability Platform of P Algorithm

The comprehensive evaluation of students’ self realization ability is a process of evaluating and evaluating students’ self realization ability. This is based on the concept that a student’s self realization ability can be measured by his / her academic performance, attitude, behavior and other factors. The purpose of the assessment is to determine whether the students have reached a sufficient level of self realization ability. The comprehensive evaluation is based on three principles: (1) holistic approach; (2) Pay attention to all aspects of educational experience; (3) Student comprehensive evaluation system. Then, combining the advantages of fuzzy analytic hierarchy process and BP neural network, the fuzzy analytic hierarchy process is used to determine the initial weight of each evaluation index and the comprehensive evaluation value of self realization ability, and then determine the training and test sample output results of the BP neural students’ self realization ability evaluation model. The network weight and threshold are constantly adjusted, and a dynamic evaluation model of students’ self realization ability based on BP neural network is established, It realizes the prediction of the evaluation value of College Students’ self realization ability. The feasibility of the evaluation method is verified by simulation experiments.