Prediction Method of College Students’ Psychological Pressure Based on Deep Neural Network
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...
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Hindawi Limited
2021
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oai:doaj.org-article:671b7863c1f846e481afa47d650efc832021-11-22T01:10:59ZPrediction Method of College Students’ Psychological Pressure Based on Deep Neural Network1875-919X10.1155/2021/2943678https://doaj.org/article/671b7863c1f846e481afa47d650efc832021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/2943678https://doaj.org/toc/1875-919XAiming 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.Bing WangSitong LiuHindawi LimitedarticleComputer softwareQA76.75-76.765ENScientific Programming, Vol 2021 (2021) |
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Computer software QA76.75-76.765 |
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Computer software QA76.75-76.765 Bing Wang Sitong Liu Prediction Method of College Students’ Psychological Pressure Based on Deep Neural Network |
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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. |
format |
article |
author |
Bing Wang Sitong Liu |
author_facet |
Bing Wang Sitong Liu |
author_sort |
Bing Wang |
title |
Prediction Method of College Students’ Psychological Pressure Based on Deep Neural Network |
title_short |
Prediction Method of College Students’ Psychological Pressure Based on Deep Neural Network |
title_full |
Prediction Method of College Students’ Psychological Pressure Based on Deep Neural Network |
title_fullStr |
Prediction Method of College Students’ Psychological Pressure Based on Deep Neural Network |
title_full_unstemmed |
Prediction Method of College Students’ Psychological Pressure Based on Deep Neural Network |
title_sort |
prediction method of college students’ psychological pressure based on deep neural network |
publisher |
Hindawi Limited |
publishDate |
2021 |
url |
https://doaj.org/article/671b7863c1f846e481afa47d650efc83 |
work_keys_str_mv |
AT bingwang predictionmethodofcollegestudentspsychologicalpressurebasedondeepneuralnetwork AT sitongliu predictionmethodofcollegestudentspsychologicalpressurebasedondeepneuralnetwork |
_version_ |
1718418342375587840 |