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VOL. 6, ISSUE 3 (2020)
Predicting productivity in construction industry utilizing multiple linear regression technique and artificial neural network technique: A review for research and applications
Authors
Faiq MS Al-Zwainy, Hamzeh Ala’amar, Huda F Ibraheem
Abstract
Construction productivity can be very importance for development the engineering project management and reduce the time achievement. Approximation the time and cost are very important for complete any project. The objective of current study introduces the productivity in construction project, measuring construction productivity, and exploring all variable's affecting on productivity, also, display the construction productivity literature reviews and relates this review with the traditional and intelligent approaches like Multiple Linear Regression Technique (MLRT) and Artificial Neural Network Technique (ANNT) respectively.
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Pages:07-13
How to cite this article:
Faiq MS Al-Zwainy, Hamzeh Ala’amar, Huda F Ibraheem "Predicting productivity in construction industry utilizing multiple linear regression technique and artificial neural network technique: A review for research and applications". International Journal of Research in Advanced Engineering and Technology, Vol 6, Issue 3, 2020, Pages 07-13
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