Barriers, drivers and prospects of the adoption of artificial intelligence property valuation methods in practice
Author:
Affiliation:
1. School of Built Environment, UNSW Sydney, Australia
Publisher
Informa UK Limited
Subject
General Economics, Econometrics and Finance
Link
https://www.tandfonline.com/doi/pdf/10.1080/14445921.2021.2001724
Reference94 articles.
1. Abidoye, R. B. (2017). Towards property valuation accuracy: A comparison of hedonic pricing model and artificial neural network. (Doctorate Degree), The Hong Kong Polytechnic University, Hong Kong. Retrieved December 20,2017, from http://ira.lib.polyu.edu.hk/bitstream/10397/70359/2/991021965755503411_pira.pdf (LG51 .H577P BRE 2017 Abidoye)
2. A survey of property valuation approaches in Nigeria
3. Artificial neural network in property valuation: application framework and research trend
4. Valuers’ receptiveness to the application of artificial intelligence in property valuation
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