Abstract
Aiming at the problems of low prediction accuracy and efficiency and poor prediction effect in the current psychological pressure prediction methods, a psychological pressure prediction method for college students based on deep neural network is proposed. The structure and algorithm of depth neural network and gray theory model are analyzed. Using the deep neural network, this paper establishes the sample set data of college students’ psychological pressure prediction and constructs the college students’ psychological pressure prediction model combined with the deep neural network algorithm of gray theory. The physical network information model is formed through the relationship between neurons. According to the dynamic changes of college students’ psychological pressure in each neuron of the physical network, the prediction of college students’ psychological pressure is completed. The experimental results show that the proposed method is effective in predicting college students’ psychological pressure and can effectively improve the accuracy and efficiency of college students’ psychological pressure prediction.
Highlights
Psychological pressure is a state of mental and physical tension that individuals tend to show through various psychological and physiological reactions when they perceive or recognize that they are facing the important and difficult environmental requirements [1,2,3]
Due to a series of problems, such as academic, interpersonal, emotional, and job competition, college students are prone to negative emotions, such as inferiority, jealousy, depression, irritability, anxiety and fear, and even violent tendencies, which will cause serious harm to themselves and even society in the long run
Prediction Methods of College Students’ Psychological Pressure is paper applies deep neural network to college students’ psychological pressure prediction, establishes the sample set data of college students’ psychological pressure prediction, and realizes the establishment of college students’ psychological pressure prediction model. e physical network information model is formed through the relationship between neurons
Summary
Aiming at the problems of low prediction accuracy and efficiency and poor prediction effect in the current psychological pressure prediction methods, a psychological pressure prediction method for college students based on deep neural network is proposed. E structure and algorithm of depth neural network and gray theory model are analyzed. Using the deep neural network, this paper establishes the sample set data of college students’ psychological pressure prediction and constructs the college students’ psychological pressure prediction model combined with the deep neural network algorithm of gray theory. According to the dynamic changes of college students’ psychological pressure in each neuron of the physical network, the prediction of college students’ psychological pressure is completed. E experimental results show that the proposed method is effective in predicting college students’ psychological pressure and can effectively improve the accuracy and efficiency of college students’ psychological pressure prediction
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