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House Price Valuation Model Based on Geographically Neural Network Weighted Regression: The Case Study of Shenzhen, China. (arXiv:2202.04358v1 [stat.AP])
cs.LG updates on arXiv.org arxiv.org
Confronted with the spatial heterogeneity of real estate market, some
traditional research utilized Geographically Weighted Regression (GWR) to
estimate the house price. However, its kernel function is non-linear, elusive,
and complex to opt bandwidth, the predictive power could also be improved.
Consequently, a novel technique, Geographical Neural Network Weighted
Regression (GNNWR), has been applied to improve the accuracy of real estate
appraisal with the help of neural networks. Based on Shenzhen house price
dataset, this work conspicuously captures the weight …
arxiv case study china network neural network price regression shenzhen study