Evaluation Model of College Students’ Mental Health Based on Neural Network

Abstract

Abstract With the constant growth of China’s higher education from elite education to popular education, a series of vicious events such as college students’ recess, withdrawal from school and even suicide caused by mental health problems are increasing, which not only brings great pressure and grief to the family, but also has a negative impact on the normal teaching and management of schools, but also causes great losses to society and arouses the concern of the state, society and schools. And although psychological testing is widely used as a standardized evaluation tool in the investigation and individual evaluation of college students’ mental health, the results are not obvious. Many psychological problems are still not detected early. There are many reasons for this outcome, such as students’ failure to provide true and reliable information, the poor validity of the test and the complexity of the psychological problem itself, among which the failure to make effective use of the information inherent in the test is also an important reason. Therefore, in the individual psychological evaluation, how to use the information provided by the test accurately and effectively by mathematical means to improve the recognition rate of psychological problems is an important problem facing the mental health care and promotion of college students.