id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_vi7mhk6gg5gijkx2dieiskx6xu	Yonghui Yang	Research on House Price Prediction Based on Multi-Dimensional Data Fusion	2020	8	.pdf	application/pdf	3432	288	59	Research on House Price Prediction Based on MultiDimensional Data Fusion This paper proposes a house price prediction model finally, a fully connected neural network model is established After the neural network model has been established, the price Neural Network Model; House Price Prediction attributes that affect house prices are entered into the attributes that affect house prices are entered into the data fusion model, and the price of the commercial data fusion model, and the price of the commercial variables, such as housing prices in this paper, are a Data fusion[5] is a technology that fuses attribute neural network model to process the pixel matrix. 6 attributes that affect house prices: transaction date ; dependent variable: house price . model shown in (Figure 5 Network structure) is trained house price .After the neural network model has been house into this neural network model, and you can get 	./cache/work_vi7mhk6gg5gijkx2dieiskx6xu.pdf	./txt/work_vi7mhk6gg5gijkx2dieiskx6xu.txt