山东理工大学学报：自然科学版2011，Vol.25Issue(6)：37-40,4.
改进GM（1,1）模型在营养状况预测中的应用
Improved GM（1,1） model and its application in nutritional status prediction
摘要
Abstract
In order to improve the fitting and predication precision of GM（1,1） model,through the initial value and background value correction,the improved grey GM（1,1） prediction model is given,and the improved model parameters optimization are obtained by particle swarm optimization algorithm.According to Chinese students＇ constitution and health survey report 4 nutritional disease detection rate of data on 10 to 12 old urban and rural men and women of overweight,obesity,improved GM（1,1） prediction model is established to predict nutritional disease detection rate on 2010 to 2015 for students＇ growth of macroscopical monitoring to provide scientific data.关键词
改进GM（1,1）模型/粒子群算法/营养性疾病Key words
improve GM（1/1） model/PSO/nutritional diseases分类
数理科学引用本文复制引用
齐予仑..改进GM（1,1）模型在营养状况预测中的应用[J].山东理工大学学报：自然科学版,2011,25(6):37-40,4.基金项目
喀什师范学院校内课题 （）
