International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies


:: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies TuEngr+QR-Code

ISSN 2228-9860
eISSN 1906-9642


Vol.12(6) (2021)


  1. Abd, A. M., Jasim, N. A., & Naseef, F. S. (2019). Predicting the final cost of Iraqi construction project using Artificial Neural Network (ANN). Indian J. Scie. Technol., 12, 28.
  2. Boussabaine, A. H. (1996). The use of Artificial Neural Networks in construction management: a review. Construction Management and Economics, 14(5), 427-436. doi:10.1080/014461996373296
  3. Celik, U., & Basar?r, C. (2017). The prediction of precious metal prices via Artificial Neural Network by using RapidMiner. Alphanumeric Journal, 5(1), 45-54.
  4. Chakan, C. (2010). Cost estimation for condominium construction using the Artificial Neural Network theory. (in Thai), Kasetsart University.
  5. Chaysiri, R., & Ngauv, C. (2020). Prediction of closing stock prices using the Artificial Neural Network in the Market for Alternative Investment (MAI) of the Stock Exchange of Thailand (SET). Cham.
  6. Duangsangthong, W. (2016). Estimation of housing construction prices using Neural Network techniques. Master's Thesis (in Thai), Chiang Mai University.
  7. Economic Intelligence Center (EIC) Siam Commercial Bank Public Company Limited. (2020). EIC Evaluation of the Thai construction industry How should I be prepared during the COVID-19. Economic Intelligence Center (EIC), 7.
  8. Geetha, A., & Nasira, G. (2014). Artificial Neural Networks' application in weather forecasting - using RapidMiner. International Journal of Computational Intelligence and Informatics, 4(3), 177-182.
  9. Kaviya, K., & Premalatha, J. (2019). Prediction of compressive strength of high performance concrete using Artificial Neural Network (ANN) models. International Research Journal of Engineering and Technology, 6, 1378-1387.
  10. Laszlo, K., & Ghous, H. (2020). Efficiency comparison of Python and RapidMiner. Multidiszciplinaris Tudomanyok, 10(3), 212-220.
  11. Matel, E., Vahdatikhaki, F., Hosseinyalamdary, S., Evers, T., & Voordijk, H. (2019). An Artificial Neural Network approach for cost estimation of engineering services. International Journal of Construction Management, 1-14. doi:10.1080/15623599.2019.1692400
  12. Polat, G. (2012). ANN approach to determine cost contingency in international construction project. Journal of Applied Management and Investments, 1(2), 195-201.
  13. Ranjan, C. (2019). Rules-of-thumb for building a Neural Network.
  14. Rujirayanyong, T. (2012). A prediction of construction cost indexes using Neural Network models. Estimate Cost for Apartment Building Using Regression Analysis, 33-39.
  15. Tochaiwat, K., Uruhamanon, P., Pultawee, P., & Naksuksakul, S. (2020). Hedonic Price Model of Secondhand Condominium Units in Bangkok. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 12(1), 12A1A, 1-9.
  16. Wangniwetkul, K. (2009). Construction engineering cost estimation. (in Thai): SE-EDUCATION Public Company Limited.

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