Enhanced Predictive Models for Construction Costs: A Case Study of Turkish Mass Housing Sector-Reference-Cited by-同舟云学术

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Enhanced Predictive Models for Construction Costs: A Case Study of Turkish Mass Housing Sector

Published:2018-04-23 Issue:4 Volume:53 Page:1403-1419
ISSN:0927-7099
Container-title:Computational Economics
language:en
Short-container-title:Comput Econ

Author:

Ugur Latif Onur,Kanit Recep,Erdal Hamit,Namli Ersin,Erdal Halil Ibrahim,Baykan Umut Naci,Erdal Mursel

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Economics, Econometrics and Finance (miscellaneous)

Link

http://link.springer.com/content/pdf/10.1007/s10614-018-9814-9.pdf

Reference46 articles.

1. Adeli, H., & Wu, M. (1998). Regularization neural network for construction cost estimation. Journal of Construction Engineering and Management. https://doi.org/10.1061/(ASCE)0733-9364(1998)124:1(18) .

2. Al-Tabtabai, H. (1998). A framework for developing an expert analysis and forecasting system for construction projects. Expert Systems with Applications, 14(3), 259–273.

3. An, S. H., Park, U. Y., Kang, K. I., Cho, M. Y., & Cho, H. H. (2007). Application of support vector machines in assessing conceptual cost estimates. Journal of Computing in Civil Engineering, 21(4), 259–264.

4. Aydogmus, H. Y., Ekinci, A., Erdal, H. I., & Erdal, H. (2015a). Optimizing the monthly crude oil price forecasting accuracy via bagging ensemble models. Journal of Economics and International Finance, 7(5), 127–136.

5. Aydogmus, H. Y., Erdal, H. I., Karakurt, O., Namli, E., Turkan, Y. S., & Erdal, H. (2015b). A comparative assessment of bagging ensemble models for modeling concrete slump flow. Computers and Concrete, 16(5), 741–757.

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