期刊论文详细信息
American Journal of Applied Sciences
House Price Prediction: Hedonic Price Model vs. Artificial Neural Network| Science Publications
Minsoo Lee1  Christopher Gan1  Visit Limsombunchai1 
关键词: Hedonic Model;    Artificial Neural Network;    House Price;   
DOI  :  10.3844/ajassp.2004.193.201
学科分类:自然科学(综合)
来源: Science Publications
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【 摘 要 】

The objective of this study is to empirically compare the predictive power of the hedonic model with an artificial neural network model for house price prediction. A sample of 200 houses in Christchurch, New Zealand is randomly selected from the Harcourt website. Factors including house size, house age, house type, number of bedrooms, number of bathrooms, number of garages, amenities around the house and geographical location are considered. Empirical results support the potential of artificial neural network on house price prediction, although previous studies have commented on its black box nature and achieved different conclusions.

【 授权许可】

Unknown   

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