Study and Practice of Sleep Quality based on BP Neural Network Model

Qi Hao1, Chao Ma2, Nuo Xu1, Zhi-hong Ma3 Corresponding author

1College of Computer and Information Engineering, Tianjin Agriculture University, Tianjin, 300384, China, 

2College of Horticulture and Landscape Architecture, Tianjin Agriculture University, Tianjin, 300384,China  

3College of basic science, Tianjin Agricultural University, Tianjin, 300384, China

Abstract: As the number of insomnia in adults increases, the severe insomnia makes people study and work be relatively low. Aiming at the problem of how to diagnose disease from the sleep indicators, put forward an analytic model based on BP natural network. First, analyzing the relationship between indicators and quality of sleep, it can be found that each patient has at least one relevant score for a sleep indicator that is very high. Second, by establishing a sleep classification model based on BP neural network, study the correlation be-tween various indicators of sleep and diagnosis results. Finally, it can accordingly provide the diagnosis result for the patients, on the basis of the analysis of sleep index by using the model.

Keywords: Stepwise regression; SPSS; BP; Neural network