College Students Based On BP Neural Network Prediction And Analysis Of The Psychological Conditions

Mental health, not only related to the formation of college students personalgrowth and social consciousness, but also related to the whole community andnational future development. The students’ learning pace of life, suffer from thesurrounding environment, plus graduate employment situation is grim, studentsincreasingly heavy mental load. In daily life, study and work, interpersonalrelationships, self-cognitive, emotional life, and many other different levels ofpsychological problems, such as anxiety, low self-esteem, depression and otherpsychological, severe physical and mental health of college students to develop andoverall awareness of the culture. Therefore, attention to students’ psychologicalhealth problems and solve them, has become an important task of the university work.Students’ mental health, has become an important issue that needs urgent attention ofthe relationship of today’s families, schools and social stability.We must take seriously the psychological problems of college students, fullanalysis to study the causes of their psychological problems, to understand the variousfactors that affect mental health, starting from the source, through the effectivemethod for early detection of signs of psychological problems, a preventive purpose,seeds of psychological problems are nipped in the bud, to a fundamental solution tothe problem of students’ psychological health.10factors that affect students ’psychological health for the input samples, outputsamples of the total score of the SCL-90psychological scale test results to establish aset of sample data, students’ psychological based on BP neural network using matlabartificial neural network toolbox health status predict the network model of the system,enabling the prediction of the mental health of students, after the training samples, andfinally through the predicted values and measured values of the artificial neuralnetwork output error is only3.04%, better achieve the desired effect.Psychological through the neural network prediction model, we can predict inadvance may have students with psychological problems in a timely manner so as togive the appropriate attention or measures to avoid the expansion or aggravation ofthe students ’psychological problems, and to achieve stability and unity of the schooland students’ growth and success.