Urban Residential Land Price Appraisal via Quantifying Impact Factors Based on Deep Belief Networks-Reference-Cited by-同舟云学术

Urban Residential Land Price Appraisal via Quantifying Impact Factors Based on Deep Belief Networks

Published:2020-02-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 12th International Conference on Machine Learning and Computing
language:
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Author:

Ai Hua¹,Liu Qiang²,Jiang Yuxin³,He Jing²

Affiliation:

1. School of Literature, Neijiang Normal University, Neijiang, Sichuan, P.R. China

2. School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan, P.R. China

3. School of Economics, Hefei University of Technology, Hefei, Anhui, P.R. China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3383972.3384017

Reference12 articles.

1. Influencing Factors of Residential Land Price in Wuhan Based on GWR Model;Shan Y.H.;Journal of Huazhong Agricultural University,2014

2. A Study on the Influence Factors of the Residential Land Price Based on Hedonic Price Model: Taking Nanjing City as An Example;Zhu C.G.;AREAL RESEARCH AND DEVELOPMENT,2014

3. The Integrated Land Price Forecast and Influential Factors Analysis in Xinjiang Based on the Gray System Theory;Zhang L.P.;MATHEMATICS IN PRACTICE AND THEORY,2013

4. Study on the City Residential Land Price Evaluation Based on Genetic Neural Network: Taking Nanjing as An Example;Zhu C.J.;GUANGDONG LAND SCIENCE,2014

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