Develop an artificial neural network (ANN) model to predict construction projects performance in Syria

Author:

Maya Rana,Hassan BassamORCID,Hassan Ammar

Publisher

Elsevier BV

Subject

General Engineering

Reference18 articles.

1. Evaluation of critical success factors (CSFs) in selecting building contractors through Pareto and analytical hierarchy process;Al-Salahi;J. Eng. Res.,2020

2. Al-Zwainy, Faiq, 2014. Development of the Mathematical Model for Predicating the Construction Productivity in IRAQ Using the ... [WWW Document]. Research Gate.

3. An artificial neural networks (ANN) model for evaluating construction project performance based on coordination factors;Alaloul;Cogent Eng.,2018

4. Investigating project management practices in public sector organisations of a less developed country;Ali;Management,2010

5. Ali, H.A.E.M., Al-Sulaihi, I.A., Al-Gahtani, K.S., 2013. Indicators for measuring the performance of building construction companies in the Kingdom of Saudi Arabia. J. King Saud Univ. - Eng. Sci. 25, 125–134. https://doi.org/10.1016/j.jksues.2012.03.002.

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