RESEARCH ARTICLE
BP Neural Network Model-Based Physical Exercises and Dietary Habits Relationships Exploration
Xingwei Guo1, *, Xuesheng Zhang2, Yi Sun3
Article Information
Identifiers and Pagination:
Year: 2015Volume: 9
First Page: 276
Last Page: 281
Publisher ID: TOBEJ-9-276
DOI: 10.2174/1874120701509010276
Article History:
Received Date: 26/05/2015Revision Received Date: 14/07/2015
Acceptance Date: 10/08/2015
Electronic publication date: 09/10/2015
Collection year: 2015
open-access license: This is an open access article licensed under the terms of the (https://creativecommons.org/licenses/by/4.0/legalcode), which permits unrestricted, noncommercial use, distribution and reproduction in any medium, provided the work is properly cited.
Abstract
With the continuous progress of society and increment of social pressure, people have paid little and little attentions to physical exercises and dietary necessity. Taking Beijing, Shanghai, Guangzhou, Shenzhen, Shijiazhuang and Baotou university students as research objects, targeted at physical exercises time and dietary habits, it starts investigation. Making principal component analysis of investigation results, it 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. Utilizing BP neural network model, and analyzing 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.
