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Modelling Construction Site Cost Index Based on Neural Network Ensembles
16 references·1 citing·48 second hop
Modelling Construction Site Cost Index Based on Neural Network Ensembles (2019)Modelling Construction Site Cost Index Ba…Prediction of site overhead costs with the use of artificial neural network based model (2018)Prediction of site overhead c…A Hybrid MCDM Technique for Risk Management in Construction Projects (2018)A Hybrid MCDM Technique for R…The Challenges of Nonparametric Cost Estimation of Construction Works with the use of Artificial Intelligence Tools (2017)The Challenges of Nonparametr…Sustainable Decision-Making in Civil Engineering, Construction and Building Technology (2017)Sustainable Decision-Making i…A Novel Hybrid MCDM Approach for Complicated Supply Chain Management Problems in Construction (2017)A Novel Hybrid MCDM Approach …The influence of the building shape on the costs of its construction (2013)The influence of the building…Predicting the maintenance cost of construction equipment: Comparison between general regression neural network and Box–Jenkins time series models (2013)Predicting the maintenance co…Modeling the Decision-Making Process Concerning Participation in Construction Bidding (2013)Modeling the Decision-Making …The principal factors affecting construction project overhead expenses: an exploratory factor analysis approach (2012)The principal factors affecti…Identification and Initial Risk Assessment of Construction Projects in Poland (2008)Identification and Initial Ri…Neural Network Modeling of Highway Construction Costs (2005)Neural Network Modeling of Hi…Predicting Cost Deviation in Reconstruction Projects: Artificial Neural Networks versus Regression (2003)Predicting Cost Deviation in …Predicting Accuracy of Early Cost Estimates Using Factor Analysis and Multivariate Regression (2003)Predicting Accuracy of Early …A neural network bid/no bid model: the case for contractors in Syria (2003)A neural network bid/no bid m…Non-structural fuzzy decision support system for evaluation of construction safety management system (2002)Non-structural fuzzy decision…The management of construction company overhead costs (2001)The management of constructio…Improving the Results of the Earned Value Management Technique Using Artificial Neural Networks in Construction Projects (2020)Improving the Results of the …ICRAM-1: Model for International Construction Risk Assessment (2000)Enhancing the effectiveness of risk management practices in Sri Lankan road construction projects: A Delphi approach (2014)Overview of Corruption Research in Construction (2014)Risk management in the construction industry: a new literature review (2016)A Competitive-Bidding Strategy (1956)Bidding Strategies and Probabilities (1967)Factors considered in tendering decisions by top UK contractors (1993)A deterministic contractor selection decision support system for competitive bidding (2017)Predicting Project’s Uncertainty Risk in the Bidding Process by Integrating Unstructured Text Data and Structured Numerical Data Using Text Mining (2017)Fuzzy AHP Application for Supporting Contractors’ Bidding Decision (2018)Critical Success Factors for Construction Projects (1992)Gross Domestic Product (1994)Project cost estimation using principal component regression (2005)A CBR-based hybrid model for predicting a construction duration and cost based on project characteristics in multi-family housing projects (2010)Three-Stage Least-Squares Analysis of Time and Cost Overruns in Construction Contracts (2010)Final contractor selection using the analytical hierarchy process (2000)Fundamentals of Decision Making and Priority Theory With the Analytic Hierarchy Process (2000)Project Procurement System Selection Model (2000)Comparing non-structural fuzzy decision support system and analytical hierarchy process in decision-making for construction problems (2005)MCDM Methodologies and Applications: A Literature Review from 1999 to 2009 (2011)Multi-criteria decision making towards selection of industrial robot (2015)Neural Network Model 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decision in the Saudi Arabian construction contractors (2009)Construction project selection using fuzzy TOPSIS approach (2010)Predicting Construction Cost Using Multiple Regression Techniques (2006)Predicting construction cost overruns using text mining, numerical data and ensemble classifiers (2014)Cost estimation and prediction in construction projects: a systematic review on machine learning techniques (2020)
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References

  • 2003Predicting Accuracy of Early Cost Estimates Using Factor Analysis and Multivariate Regression291 cited
  • 2017Sustainable Decision-Making in Civil Engineering, Construction and Building Technology217 cited
  • 2005Neural Network Modeling of Highway Construction Costs188 cited
  • 2018A Hybrid MCDM Technique for Risk Management in Construction Projects164 cited
  • 2003Predicting Cost Deviation in Reconstruction Projects: Artificial Neural Networks versus Regression142 cited
  • 2003A neural network bid/no bid model: the case for contractors in Syria103 cited
  • 2008Identification and Initial Risk Assessment of Construction Projects in Poland102 cited
  • 2002Non-structural fuzzy decision support system for evaluation of construction safety management system100 cited
  • 2013Modeling the Decision-Making Process Concerning Participation in Construction Bidding91 cited
  • 2013Predicting the maintenance cost of construction equipment: Comparison between general regression neural network and Box–Jenkins time series models84 cited
  • 2001The management of construction company overhead costs84 cited
  • 2017The Challenges of Nonparametric Cost Estimation of Construction Works with the use of Artificial Intelligence Tools69 cited
  • 2012The principal factors affecting construction project overhead expenses: an exploratory factor analysis approach60 cited
  • 2018

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Prediction of site overhead costs with the use of artificial neural network based model
59 cited
  • 2017A Novel Hybrid MCDM Approach for Complicated Supply Chain Management Problems in Construction51 cited
  • 2013The influence of the building shape on the costs of its construction49 cited
  • Cited by

    • 2020Improving the Results of the Earned Value Management Technique Using Artificial Neural Networks in Construction Projects32 cited