Real estate price appraisal is inherently risky because of the reliance on a large quantity of subjective data. Many appraisals are based upon statistical multiple regression analysis, but the application of an artificial neural network can improve accuracy substantially. A study using data from 486 home sales in the Boston, Massachusetts area illustrates the advantages of the technique.
Zachary Wong , Milam Aiken and Mahesh B. Vanjani . Application of Artificial Neural Networks to Real Estate Appraisals.
DOI: https://doi.org/10.36478/ajit.2005.607.613
URL: https://www.makhillpublications.co/view-article/1682-3915/ajit.2005.607.613