id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fbem-18191	Wan, Yingliang; Tao, Hong; Ma, Li	Forecasting Zhejiang Province's GDP Using a CNN-LSTM Model 	2024	3	.pdf	application/pdf	2088	101	38	For the purposes of model construction, data from the initial 42 years were utilized, whereas data from the subsequent two years were earmarked for model validation and the projection of GDP for the forthcoming years 2023 and 2024. A comparative assessment indicates that the composite CNN-LSTM model surpasses the individual CNN and LSTM models in accuracy, providing a more reliable forecasting instrument for Zhejiang's high-quality economic progression.	cache/fbem-18191.pdf	txt/fbem-18191.txt