A method of urban residential land price evaluation based on transfer learning
A technology of transfer learning and land price, which is applied in product evaluation, instruments, data processing applications, etc., to achieve the effect of improving the accuracy of fitting, reducing fatal defects, and improving the accuracy of land price evaluation
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[0027] Step 1. According to the selected research area, this patent takes Shenzhen as an example, and collects housing price and land price data of ten districts and counties in Shenzhen, mainly including coordinate information of points of interest and related attribute information; using Delphi method and main The component analysis method analyzes a wide variety of characteristic factors of residential land prices in Shenzhen, removes the characteristic factors with strong correlation and low importance, and determines the factors including urban expressways, expressways, buses, subways, middle schools, primary schools, kindergartens, and commercial services. There are 16 influencing factors that affect housing prices and land prices, such as degree of development, hospitals, density of catering outlets, density of financial service outlets, density of automobile service outlets, parks and green spaces, tourist attractions, regional planning prospects, and population density....
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