1 |
Elmousalami, H.H. (2020). Artificial intelligence and parametric construction cost estimate modeling: stateof-the-art review. Journal of Construction Engineering and Management, 146(1), 03119008.
DOI
|
2 |
Gu, H. Seo, J., and Choo, S. (2019). "Development of Facade Dataset Construction Technology Using Deep Learning-based Automatic Image Labeling." Journal of the Architectural Institute of Korea Planning & Design, 35(12), pp. 43-54.
DOI
|
3 |
Hasan, S.A. (2019). Optimal Alternatives by Controlling Time and Cost of a Multi-Level Car Park Using Excel-Solver Program, Journal of Southwest Jiaotong University, 54(6).
|
4 |
Hegazy, T., and Ayed, A. (1998). "Neural network model for parametric cost estimation of highway projects." Journal of construction engineering and management, 124(3), pp. 210-218.
DOI
|
5 |
Higa, K., and Lee, H.G. (1998). "A graph-based approach for rule integrity and maintainability in expert system maintenance." Information & management, 33(6), pp. 273-285.
DOI
|
6 |
Kim, J., and Cha, H. (2018). "Development of Estimation System for Housing Remodeling Cost through Influence Analysis by Design Elements." Korean Journal of Construction Engineering and Management, KICEM, 19(6), pp. 65-79.
DOI
|
7 |
Ji, S.H., Park, M., and Lee, H.S. (2010). "Data preprocessing-based parametric cost model for building projects: case studies of Korean construction projects." Journal of Construction Engineering and Management, 136(8), pp. 844-853.
DOI
|
8 |
Karaca, I., Gransberg, D.D., and Jeong, H.D. (2020). "Improving the Accuracy of Early Cost Estimates on Transportation Infrastructure Projects." Journal of Management in Engineering, 36(5), 04020063.
|
9 |
Kim, H., Kang, L., Lee, D., and Kim, C. (2014). "Development of a Computer System and Suggestion of Man-Hours for Demolition Cost Estimation." Journal of The Korean Society of Civil Engineers, 34(3), pp. 1007-1015.
DOI
|
10 |
Kim, K., and Baik, H. (2015). "Comparative Analysis between RSMeans and Standard Estimating System for Selective Finish Demolition in Remodeling Projects." Journal Of The Architectural Institute Of Korea Structure & Construction, 31(3), pp. 73-80.
DOI
|
11 |
Ahn, S. (2006). "Development of Case-based Reasoning Model for Evaluating Reliability of Conceptual Cost Estimates in Canstruction Projects." Ph.D. dissertation, Korea University, Korea.
|
12 |
Alex, D.P., Al Hussein, M., Bouferguene, A., and Fernando, S. (2010). "Artificial neural network model for cost estimation: City of Edmonton's water and sewer installation services." Journal of construction engineering and management, 136(7), pp. 745-756.
DOI
|
13 |
Kim, G.H., Kim, G.H., An, S.H., and Kang, K.I. (2004). "Comparison of construction cost estimating models based on regression analysis, neural networks, and case-based reasoning." Building and environment, 39(10), pp. 1235-1242.
DOI
|
14 |
Al-Tabtabai, H. (1998). "A framework for developing an expert analysis and forecasting system for construction projects." Expert Systems with Applications, 14(3), pp. 259-273.
DOI
|
15 |
Chae, S., Kim, K., Cha, H., Kim, K., and Han, J. (2010). "Constructability Analysis in Aged-Housing Remodeling Demolition Work for Maximizing Waste Recycling." Korean Journal of Construction Engineering and Management, KICEM, 11(3), pp. 13-23.
DOI
|
16 |
Chen, Z., and Suen, C.Y. (1994). Measuring the complexity of rule-based expert systems. Expert Systems with Applications, 7(4), pp. 467-481.
DOI
|
17 |
Chen, J.X. (2016). "The evolution of computing: AlphaGo." Computing in Science & Engineering, 18(4), pp. 4-7.
DOI
|
18 |
Choi, S., Son, J., Lee D., and Choe, M. (2010). "Management A Study on the Application of the Cost Data Guide in Remodeling Works." Journal of the Regional Association of Architectural Institute of Korea, 12(4), pp. 343-352.
|
19 |
Lee, J., and Lee. S. (2017). "Deep Learning for Structural Analysis." Korean Association for Spatial Structures, 17(4), pp. 10-16.
|
20 |
Lu, M., AbouRizk, S.M., and Hermann, U.H. (2001). "Sensitivity analysis of neural networks in spool fabrication productivity studies." Journal of Computing in Civil Engineering, 15(4), pp. 299-308.
DOI
|
21 |
Park, M., Han, K., Lee, H., and Leem, D. (2008). "Sustainable Cost Estimating Model for Construction Projects." Journal Of The Architectural Institute of Korea Structure & Construction, 24(10), pp. 167-179.
|
22 |
Yau, N.J., and Yang, J.B. (1998). "Case-based reasoning in construction management." Computer-Aided Civil and Infrastructure Engineering, 13(2), pp. 143-150.
DOI
|
23 |
Rafiei, M.H., and Adeli, H. (2018). "Novel machinelearning model for estimating construction costs considering economic variables and indexes." Journal of construction engineering and management, 144(12), 04018106.
DOI
|
24 |
Seo, J., Kim, S, Cho, J., and Chun, J. (2010). "Supporting Model of Cost Planning using Case-Based Reasoning in Pre-design Phase -Focused on the Case of Public Office Building-" Journal Of The Architectural Institute Of Korea Structure & Construction, 26(4), pp. 159-169.
|
25 |
Tijanic, K., Car-Pusic, D., and Sperac, M. (2019). Cost estimation in road construction using artificial neural network. Neural Computing and Applications, pp. 1-13.
|
26 |
Wang, W.C., Wang, S.H., Tsui, Y.K., and Hsu, C.H. (2012). "A factor-based probabilistic cost model to support bidprice estimation." Expert Systems with Applications, 39(5), pp. 5358-5366.
DOI
|
27 |
Watson, I., Basden, A., and Brandon, P. (1992). "The client-centred approach: expert system development." Expert Systems, 9(4), pp. 181-188.
DOI
|