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Psychology Predictive Model Research Based on Artificial Neural Network

Zhongxi, Cai

College students' mental health has also become a important question which is related to stability of family, university and society. Ten number of major factors that affects college students' mental health is taken as the input samples. Weight of BP neural network is optimized by genetic algorithm and college students' mental health prediction system is put forward. We can in advance predict students who may have psychological problems so as to give corresponding attention or corresponding measures in time to achieve the school's stability and unity.

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Psychology Predictive Model Research Based on Artificial Neural Network

Zhongxi, Cai

College students' mental health has also become a important question which is related to stability of family, university and society. Ten number of major factors that affects college students' mental health is taken as the input samples. Weight of BP neural network is optimized by genetic algorithm and college students' mental health prediction system is put forward. We can in advance predict students who may have psychological problems so as to give corresponding attention or corresponding measures in time to achieve the school's stability and unity.

Psychology Predictive Model Research Based on Artificial Neural Network

Zhongxi, Cai

College students' mental health has also become a important question which is related to stability of family, university and society. Ten number of major factors that affects college students' mental health is taken as the input samples. Weight of BP neural network is optimized by genetic algorithm and college students' mental health prediction system is put forward. We can in advance predict students who may have psychological problems so as to give corresponding attention or corresponding measures in time to achieve the school's stability and unity.

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Title:

Psychology Predictive Model Research Based on Artificial Neural Network

Contributors:

Zhongxi, Cai (author)

Published in:

2015 International Conference on Intelligent Transportation, Big Data and Smart City ; 571-574

Publication date:

2015-12-01

Size:

151444 byte

ISBN:

978-1-5090-0463-8 , 978-1-5090-0464-5

DOI:

https://doi.org/10.1109/ICITBS.2015.146

Type of media:

Conference paper

Type of material:

Electronic Resource

Language:

English

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