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/
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
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