title: BP Neural Network Model-based Physical Exercises and Dietary Habits Relationships Exploration.
abstract: With the continuous progress of society, increment of social pressure, people have paid little and little attentions to physical exercises and dietary necessity. Take Beijing, Shanghai, Guangzhou, Shenzhen, Shijiazhuang and Baotou university students as research objects, targeted at physical exercises time and dietary habits, it starts investigation. Make principal component analysis of investigation results, results indicates that cereal intake is principal component in dietary habits; strenuous exercise time and general physical exercise time are the principal components in physical exercise. Utilize BP neural network model, analyze these seven cities' physical exercises and dietary habits conditions, the result indicates that except for Shenzhen, all the other six cities haven't reached the standard.
authors.affiliation: Teaching and Research Section of Physical Education, Department of Basic Courses, Changchun Guanghua University, Changchun, 130017, Jilin, China.
authors.forename: Xingwei
authors.initials: X
authors.lastname: Guo
authors.affiliation: North China Institute of Science and Technology, Sanhe, 065201, Hebei, China.
authors.forename: Xuesheng
authors.initials: X
authors.lastname: Zhang
authors.affiliation: Institute of Physical Education, Jilin University, Changchun 130012, Jilin, China.
authors.forename: Yi
authors.initials: Y
authors.lastname: Sun
keywords: BP neural network; dietary habits; physical exercises; principal component analysis.