Uneingeschränkter Zugang

Developing A Mathematical Model for Planning Repetitive Construction Projects By Using Support Vector Machine Technique


Zitieren

[1] AKOGBE, R. - FENG, X. - ZHOU, J.: Importance and ranking evaluation of delay factors for development construction projects in Benin. KSCE Journal of Civil Engineering, Springer, Vol. 17, 2013, pp. 1213–1222.10.1007/s12205-013-0446-2 Search in Google Scholar

[2] ABBASNEJAD, B. - IZADI MOUD, H.: Construction delays in Iranian civil engineering projects: An approach to the financial security of construction business. Life Science Journal, Vol. 10, Iss. 2, 2013, pp. 2632–2637. Search in Google Scholar

[3] AL GERGAWI, Z.: Grammar teaching methodology for the questionnaire. Second Edition, publisher of Al Quds Open University, a press of the surgeon, Jerjao, 2010. Search in Google Scholar

[4] ALAGHBARI, W. - KADIR, M. - SALIM, A. - ERNAWATI: The significant factors are causing a delay in building construction projects in Malaysia. Engineering, Construction and Architectural Management, Vol. 14, Iss. 2, 2007, pp. 192–206.10.1108/09699980710731308 Search in Google Scholar

[5] JÁSKOWSKI, P. - BIRUK, S.: Minimizing the Duration of Repetitive Construction Processes with Work Continuity Constraints. Computation Journal, Vol.7, Iss. 14, 2019, pp. 1–11.10.3390/computation7010014 Search in Google Scholar

[6] TOMCZAK, M. - JANKOWSKI, P.: New Approach to Improve General Contractor Crew’s Work Continuity in Repetitive Construction Projects. Journal of Construction Engineering and Management, Vol. 146, Iss. 5, 2020.10.1061/(ASCE)CO.1943-7862.0001824 Search in Google Scholar

[7] RADZISZEWSKA, E. - SROKA, B.: Planning repetitive construction projects considering technological constraints. Open Engineering Journal, Vol. 8, Iss. 1, 2018, pp. 500–505.10.1515/eng-2018-0058 Search in Google Scholar

[8] TOMAR, A. - BANSAL, V.: Scheduling repetitive construction projects using geographic information systems: integration of critical path method and line of balance. Asian Journal of Civil Engineering, 20, 2019, pp. 549–562.10.1007/s42107-019-00123-3 Search in Google Scholar

[9] DOROFKI, M.: Comparison of Artificial Neural Network Transfer Functions Abilities to Simulate Extreme Runoff Data. International Conference on Environment, Energy and Biotechnology, Singapore, 2012, pp. 33–39. Search in Google Scholar

[10] WILLMOTT, CORT J. – KENJI, M.: Advantages of the Mean Absolute Error (MAE) over the Root Mean Square Error (RMSE) in Assessing Average Model Performance. Climate Research, Vol. 30, Iss. 1, 2005, pp. 79–82.10.3354/cr030079 Search in Google Scholar

[11] CHAI, T. - DRAXLER, R.: Root Mean Square Error (RMSE) or Mean Absolute Error (MAE)-Arguments against Avoiding RMSE in the Literature. Geoscientific Model Development, Vol. 7, Iss. 3, 2014, pp. 1247–50.10.5194/gmd-7-1247-2014 Search in Google Scholar

[12] BOSER, B. - GUYON, I. - VAPNIK, V.: A training algorithm for optimal margin classifiers. Fifth Annual Workshop on Computational Learning Theory, Pittsburgh, AC., 1992, pp. 144—152.10.1145/130385.130401 Search in Google Scholar

[13] IRANMEHR, A. - MASNADI-SHIRAZI, H. - VASCONCELOS, N.: Cost-sensitive Support Vector Machines. Neurocomputing, Vol. 343, 2019, pp. 50–64.10.1016/j.neucom.2018.11.099 Search in Google Scholar

[14] KELMAN, V.: Support Vector Machines – An Introduction. Springer-Verlag Berlin Heidelberg, Vol. 177, 2005, pp. 1–47. Search in Google Scholar

[15] SAMUI, P.: Support vector machine applied to the settlement of shallow foundations on cohesionless soils. Computers and Geotechnics, Vol. 35, Iss. 3, 2008, pp. 419–427.10.1016/j.compgeo.2007.06.014 Search in Google Scholar

[16] VAPNIK, V.: The nature of statistical learning theory. Springer, 2nd Ed, 1999, pp. 71–76. Search in Google Scholar

[17] SAMUI, P. - MANDLA, V. – TEJA, T.: Prediction of Rainfall Using Support Vector Machine and Relevance Vector Machine. Earth Science India, Vol. 4, Iss. IV, 2011, pp. 188 – 200. Search in Google Scholar

[18] SMOLA, A. J. - SCHOLKOPF, B.: A tutorial on support vector regression. Statistics and Computing, 14, 2004, pp. 199–222.10.1023/B:STCO.0000035301.49549.88 Search in Google Scholar

[19] PRESS, W. - TEUKOLSKY, S. - VETTERLING, W. - FLANNERY, B.: The Art of Scientific Computing. 3rd, New York, Cambridge University Press, 2007, pp. 35–38. Search in Google Scholar

[20] ABDUL-JABBAR, N. A.: A Conceptual Model for Planning and Scheduling of Repetitive Construction Projects. A Thesis Submitted to the College of the Engineering University of Baghdad in the Partial Fulfillment of the Requirements for the Degree of Master of Science In Civil Engineering (Project Management), 2018, p. 61. Search in Google Scholar

[21] GHAZVINI, K. - ZANDIEH, M. - VAFAMEHR, M.: Exploring KPIS Utilization Effects on Decision Making for the Architectural Design Process in Industrial Buildings. Civil and Environmental Engineering, Vol. 16, Iss. 1, 2020, pp. 198–209.10.2478/cee-2020-0019 Search in Google Scholar

eISSN:
2199-6512
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
2 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Wirtschaftswissenschaften, Volkswirtschaft, Wirtschaftstheorie, -systeme und -strukturen, Betriebswirtschaft, Branchen, Umweltmanagement