Application of Improved GM(1, 1) Model in Predicting Nutritional Status of Youth Athletes from She Minority Group

Wu Songwei

COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(12C) 828-832

Physical Education Institute, Hubei Engineering University, Xiaogan 432000, China

GM(1, 1) is a gray dynamic prediction model that is applied most extensively in gray system theory. Nutrition is an important issue in the healthy development of youth athletes. In this study, we take youth athletes from the She minority group as an example and predict their nutritional status based on the improved GM(1, 1) model to better determine and effectively improve the nutritional status of these athletes. Based on a nutrition survey of youth athletes from the She minority group, gray system theory and relevant research on GM(1, 1) model are used to conduct data analysis of the nutritional disease detection rate of youth athletes from the She minority group in the past five years as well as construct a comprehensive and scientific prediction system. Moreover, we conduct instance analysis of their nutritional status using the GM(1, 1) model and obtain analysis results and the corresponding prediction conclusions.