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1 Ιουλ 2006 · This paper describes the development of linear regression models to predict the construction cost of buildings, based on 286 sets of data collected in the United Kingdom. Raw cost is rejected as...
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This paper describes the development of linear regression...
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31 Αυγ 2021 · Cost estimation in construction project is very critical for avoiding cost overrun in the project. This paper aims to provide a basis for improving cost estimation performance in...
15 Σεπ 2020 · Construction cost predictions to reduce time risk assessment are indispensable steps for process of decision-making of managers. Machine learning techniques need adequate dataset size to model and forecast the cost of projects.
1 Αυγ 2023 · The review reports the contributions of extant literature which have so far focused on construction forecasting tools and techniques deployed to improve accuracy.
Construction cost predictions to reduce time risk assessment are indispensable steps for process of decision-making of managers. Machine learning techniques need adequate dataset size to model and forecast the cost of projects.
15 Σεπ 2020 · A construction cost estimation framework using DNN and validation unit. This paper designs, develops, implements, and analyzes a deep learning based novel framework that estimates the construction cost of similar projects, further validated by an innovative estimator validation unit.
The method of preparing a cost estimate by calculating the monetary rate, labour hours and rates of productivity required to complete each of the individual tasks within the desired breakdown structure. Forecast An estimate and prediction of future conditions and events based on information and knowledge available at the time of the forecast.
