1

Predicting of elderly population structure and density by a novel grey fractional-order model with theta residual optimization: a case study of Shanghai City, China

doktcgyg2fz3m
Abstract Background Accurately predicting the future development trend of population aging is conducive to accelerating the development of the elderly care industry. This study constructed a combined optimization grey prediction model to predict the structure and density of elderly population. Methods In this paper. a GT-FGM model is proposed. https://midwaysportes.shop/product-category/goalkeeper-gloves/
Report this page

Comments

    HTML is allowed

Who Upvoted this Story