Artificial Neural Networks For Building Projects Cost Estimating
نویسندگان
چکیده
منابع مشابه
estimating cumulative infiltration using artificial neural networks in calcareous soils
abstract infiltration process is one of the most important components of the hydrological cycle. on the other hand, the direct measurement of infiltration process is laborious, time consuming and expensive. in this study, the possibility of predicting cumulative infiltration in specific time intervals, using readily available soil data and artificial neural networks (anns) was investigated. for...
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متن کاملestimating soil water infiltration parameters using artificial neural networks
abstract infiltration is a significant process which controls the fate of water in the hydrologic cycle. the direct measurement of infiltration is time consuming, expensive and often impractical because of the large spatial and temporal variability. artificial neural networks (anns) are used as an indirect method to predict the hydrological processes. the objective of this study was to develop ...
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Cost overruns are more common in infrastructure projects especially, more common in road construction activities. There existed a need to develop a probabilistic cost overrun analysis model in construction projects as a decision support tool for contractors before the bidding stage. The objective of this study is to identify the critical factors affecting cost overrun and obtain statistical mod...
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ژورنال
عنوان ژورنال: Construction, materials science, mechanical engineering
سال: 2018
ISSN: 2415-7031
DOI: 10.30838/p.cmm.2415.270818.52.229