The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units
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 build or not to build. An effective data structure is presented that takes into account a large number of economic variables/indices. The model incorporates time-dependent and seasonal variations of the variables. Clever stratagems have been developed to overcome the dimensionality curse and make the solution of the problem amenable on standard workstations. A case study is presented to demonstrate the effectiveness and accuracy of the model.
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Neural networks and physical systems with emergent collective computational abilities.
Hopfield, J. J. (1982) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.79.8.2554 · Cited by 19,270
A fast learning algorithm for deep belief nets
Hinton, G. E., Osindero, S., & Teh, Y.-W. (2006) · Neural Computation · doi:10.1162/neco.2006.18.7.1527 · Cited by 16,336
Cited by
Acharya, U. R., Oh, S. L., Hagiwara, Y., Tan, J. H., & Adeli, H. (2018) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2017.09.017 · Cited by 1,647
Self-citationDeep learning in the construction industry: A review of present status and future innovations
Akinosho, T. D., Oyedele, L. O., Bilal, M., Ajayi, A. O., Delgado, M. D., Akinade, O. O., & Ahmed, A. A. (2020) · Journal of Building Engineering · doi:10.1016/j.jobe.2020.101827 · Cited by 537
An Experimental Review on Deep Learning Architectures for Time Series Forecasting
Lara-Benítez, P., Carranza-García, M., & Riquelme, J. C. (2021) · International Journal of Neural Systems · doi:10.1142/s0129065721300011 · Cited by 532
Rafiei, M. H., & Adeli, H. (2018) · Engineering Structures · doi:10.1016/j.engstruct.2017.10.070 · Cited by 401
Self-citationA novel machine learning‐based algorithm to detect damage in high‐rise building structures
Rafiei, M. H., & Adeli, H. (2017) · The Structural Design of Tall and Special Buildings · doi:10.1002/tal.1400 · Cited by 346
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Metadata
- Authors
- Rafiei, M. H., & Adeli, H.
- Venue
- Journal of Construction Engineering and Management
- Published
- 2016-02
- Volume
- 142
- Issue
- 2
- ISSN
- 0733-9364 (ISSN-L)
- 1943-7862
- OpenAlex
- W1944586112
- Cited by
- 287
- References
- 2
- FWCI
- 23.23
- Type
- journal article
- Language
- en
- Open access
- closed
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- Rafiei, M. H., & Adeli, H. (2016). A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units. Journal of Construction Engineering and Management. https://doi.org/10.1061/(asce)co.1943-7862.0001047
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