2017
DOI: 10.1016/j.proeng.2017.01.336
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Neural Network for the Standard Unit Price of the Building Area

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Cited by 13 publications
(9 citation statements)
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References 16 publications
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“…A number of studies have been conducted by examining issues related to unit price analysis of building (Tas & Yaman, 2005;Mubarak, 2010;Mubarak & Tripoli, 2011;Stoy, Pollalis, &Dursun, 2012;Fachrurrazi et al, 2017). The studies are focused on building unit price modeling using a number of variables.…”
Section: Introductionmentioning
confidence: 99%
“…A number of studies have been conducted by examining issues related to unit price analysis of building (Tas & Yaman, 2005;Mubarak, 2010;Mubarak & Tripoli, 2011;Stoy, Pollalis, &Dursun, 2012;Fachrurrazi et al, 2017). The studies are focused on building unit price modeling using a number of variables.…”
Section: Introductionmentioning
confidence: 99%
“…However, MMRE has the weakness while compared across datasets [14], [15]. Other proposed models for the software accuracy are Stepwise Regression [16], [17], Rule Induction [18], [19], Case-Based Reasoning [20][21][22][23], Artificial Neural Nets [24][25][26].…”
Section: Accuracy Implementation In Other Researchmentioning
confidence: 99%
“…The number of the duration required to complete the project activity can be estimated using the formula (2). Where, D represents the duration of the activity; Q as the quantity of activity; and P as the production rate per day (PRPD) of activity.…”
Section: State Of the Artmentioning
confidence: 99%
“…The normality of the activity duration may differ from one to another contractor even in the same project region/municipal. It is due to many factors/variables that affect each other, especially when estimating duration, which includes risk factor scheduling [1], unpredictable factors as a geographical factor [2], weather/climate [3], [4], etc. This condition provides an overview that the duration of each activity may change stochastically as a result of uncertainty-factors.…”
Section: Introductionmentioning
confidence: 99%