Thought and Politics Teaching Students’ Mental Health Impact Model Based on Fuzzy Control Algorithm

The rapid development of modern science and technology has led to the increasing scale production systems formation large complex systems, resulting in complexity control objects, controllers, tasks purposes. problem how better play nurturing function professional courses realize combination knowledge transfer value leadership is addressed. Compared with traditional teaching methods, mental health ideological political content can effectively improve life satisfaction college students thus promote completion objectives. Based on background current new social development, values are gradually tending diversify, which brings certain difficulties thought politics schools. In era, psychological dynamics getting more attention from society To establish positive healthy “three views,” closely related fitness teaching. this paper, we study influence model based fuzzy algorithm (FL) order achieve a scientific systematic method good effect. construction FL-based students’ studied, experimental results show that average correct rate endpoints corresponding detected by FL’s 76.99%, 42.85% higher than nonlinear SISO system algorithm. Therefore, endpoint detection combined amplitude phase information rate. paper analyze psychology different groups students, so as draw accurate conclusions field student psychology, then individual students. research meet intrinsic requirements strengthen theoretical infiltration into civics, mode, innovate educational methods.