| contributor author | Mohammad Hossein Rafiei | |
| contributor author | Hojjat Adeli | |
| date accessioned | 2017-05-08T22:26:15Z | |
| date available | 2017-05-08T22:26:15Z | |
| date copyright | February 2016 | |
| date issued | 2016 | |
| identifier other | 45030104.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/80636 | |
| description abstract | Predicting the price of housing is of paramount importance for near-term economic forecasting of any nation. This paper presents a novel and comprehensive model for estimating the price of new housing in any given city at the design phase or beginning of the construction through ingenious integration of a deep belief restricted Boltzmann machine and a unique nonmating genetic algorithm. The model can be used by construction companies to gauge the sale market before they start a new construction and consider to | |
| publisher | American Society of Civil Engineers | |
| title | A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units | |
| type | Journal Paper | |
| journal volume | 142 | |
| journal issue | 2 | |
| journal title | Journal of Construction Engineering and Management | |
| identifier doi | 10.1061/(ASCE)CO.1943-7862.0001047 | |
| tree | Journal of Construction Engineering and Management:;2016:;Volume ( 142 ):;issue: 002 | |
| contenttype | Fulltext | |
