2019
DOI: 10.3390/sym11030411
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Modelling Construction Site Cost Index Based on Neural Network Ensembles

Abstract: Construction site overhead costs are key components of cost estimation in construction projects. The estimates are expected to be accurate, but there is a growing demand to shorten the time necessary to deliver cost estimates. The balancing (symmetry) between time of calculation and satisfaction of reliable estimation was the reason for developing a new model for cost estimation in construction. This paper reports some results from the authors’ broad research on the modelling processes in engineering related t… Show more

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Cited by 35 publications
(27 citation statements)
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“…Over the last years, artificial neural networks featuring strong theoretical bases and usefulness in practice have become increasingly important as algorithms of modelling and analysing measuring data [10]. Similar possible applications were confirmed by resolving building, surveying, cartography, cadastre, geotechnical and photogrammetry issues [11][12][13][14][15][16][17][18]. In this study, the development of results with polar and intersection methods was correlated with the analysis using a neural network.…”
Section: Introductionmentioning
confidence: 69%
“…Over the last years, artificial neural networks featuring strong theoretical bases and usefulness in practice have become increasingly important as algorithms of modelling and analysing measuring data [10]. Similar possible applications were confirmed by resolving building, surveying, cartography, cadastre, geotechnical and photogrammetry issues [11][12][13][14][15][16][17][18]. In this study, the development of results with polar and intersection methods was correlated with the analysis using a neural network.…”
Section: Introductionmentioning
confidence: 69%
“…It usually produces a more accurate result than conventional estimation methods such as expert judgment and regression analysis that due to it can describe uncertain and non-linear relationships [32][33][34]. For example, [35] developed a model for forecasting the construction site cost index by using artificial neutral networks (ANNs). Additionally, study [36] provided a hybrid model, which combines both multivariate regression method and ANNs, to forecast construction cost.…”
Section: Estimating Methodsmentioning
confidence: 99%
“…The preservation of historical buildings as cultural heritage is one of the priority tasks of local authorities, in practically every country. Unfortunately, both the current assessment of the technical condition and the necessary renovation works are not performed over a long period of time [23][24][25]. Renovation dates are often postponed [26][27][28][29].…”
Section: Introductionmentioning
confidence: 99%