@article{MAKHILLAJIT2005464937,
    title = {Application of Artificial Neural Networks to Real Estate Appraisals},
    journal = {Asian Journal of Information Technology},
    volume = {4},
    number = {6},
    pages = {607-613},
    year = {2005},
    issn = {1682-3915},
    doi = {ajit.2005.607.613},
    url = {https://makhillpublications.co/view-article.php?issn=1682-3915&doi=ajit.2005.607.613},
    author = {Zachary Wong,Milam Aiken and},
    keywords = {Artifical neural,real estate},
    abstract = {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.}
    }