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A framework of developing machine learning models for facility life-cycle cost analysis
8 references·2 citing·30 second hop
A framework of developing machine learning models for facility life-cycle cost analysis (2019)A framework of developing machine learnin…The development of a construction cost prediction model with improved prediction capacity using the advanced CBR approach (2011)The development of a construc…Conceptual cost estimates using evolutionary fuzzy hybrid neural network for projects in construction industry (2009)Conceptual cost estimates usi…Parametric Range Estimating of Building Costs Using Regression Models and Bootstrap (2008)Parametric Range Estimating o…Predicting Construction Cost Using Multiple Regression Techniques (2006)Predicting Construction Cost …Life-Cycle Cost Analysis (LCCA) (2006)Life-Cycle Cost Analysis (LCC…Neural network model incorporating a genetic algorithm in estimating construction costs (2004)Neural network model incorpor…Comparison of construction cost estimating models based on regression analysis, neural networks, and case-based reasoning (2004)Comparison of construction co…Predicting Accuracy of Early Cost Estimates Using Factor Analysis and Multivariate Regression (2003)Predicting Accuracy of Early …Implementation of a Life Cycle Cost Deep Learning Prediction Model Based on Building Structure Alternatives for Industrial Buildings (2022)Implementation of a Life Cycl…Application of Artificial Neural Networks in Construction Management: Current Status and Future Directions (2021)Application of Artificial Neu…COST ESTIMATION PREDICTIVE MODELING: REGRESSION VERSUS NEURAL NETWORK (1997)Neural Network Model for Parametric Cost Estimation of Highway Projects (1998)Regularization Neural Network for Construction Cost Estimation (1998)Comparison of School Building Construction Costs Estimation Methods Using Regression Analysis, Neural Network, and Support Vector Machine (2013)Optimizing parameters of support vector machine using fast messy genetic algorithm for dispute classification (2014)Application of Boosting Regression Trees to Preliminary Cost Estimation in Building Construction Projects (2015)Cost Studies of Buildings (2013)Project cost risk analysis: A Bayesian networks approach for modeling dependencies between cost items (2014)Artificial Intelligence and Parametric Construction Cost Estimate Modeling: State-of-the-Art Review (2019)Comparison of Artificial Intelligence Techniques for Project Conceptual Cost Prediction: A Case Study and Comparative Analysis (2020)Fuzzy sets (1965)Fuzzy sets (1996)Current research trends and application areas of fuzzy and hybrid methods to the risk assessment of construction projects (2017)An artificial neural network approach for cost estimation of engineering services (2019)Machine learning-aided engineering services' cost overruns prediction in high-rise residential building projects: Application of random forest regression (2022)Predicting Cost Deviation in Reconstruction Projects: Artificial Neural Networks versus Regression (2003)A decision support system for determining the optimal size of a new expressway service area: Focused on the profitability (2014)Holistic analysis and prediction of life cycle cost for vertical greenery systems in Singapore (2021)A critical review of structural equation modeling applications in construction research (2014)Machine learning models for predicting the residual value of heavy construction equipment: An evaluation of modified decision tree, LightGBM, and XGBoost regression (2021)Web-based conceptual cost estimates for construction projects using Evolutionary Fuzzy Neural Inference Model (2008)Range estimation of construction costs using neural networks with bootstrap prediction intervals (2011)Neuro‐Fuzzy Cost Estimation Model Enhanced by Fast Messy Genetic Algorithms for Semiconductor Hookup Construction (2012)The Challenges of Nonparametric Cost Estimation of Construction Works with the use of Artificial Intelligence Tools (2017)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)Artificial intelligence for decision support systems in the field of operations research: review and future scope of research (2021)Life cycle cost analysis of a standalone PV system (2012)Lifecycle costing of low energy housing refurbishment: A case study of a 7 year retrofit in Chester Road, London (2016)Cost-Effective Options for the Renovation of an Existing Education Building toward the Nearly Net-Zero Energy Goal—Life-Cycle Cost Analysis (2019)
this work references cited by second hop

References

  • 2004Comparison of construction cost estimating models based on regression analysis, neural networks, and case-based reasoning462 cited
  • 2006Predicting Construction Cost Using Multiple Regression Techniques292 cited
  • 2003Predicting Accuracy of Early Cost Estimates Using Factor Analysis and Multivariate Regression291 cited
  • 2009Conceptual cost estimates using evolutionary fuzzy hybrid neural network for projects in construction industry163 cited
  • 2004Neural network model incorporating a genetic algorithm in estimating construction costs127 cited
  • 2008Parametric Range Estimating of Building Costs Using Regression Models and Bootstrap82 cited
  • 2011The development of a construction cost prediction model with improved prediction capacity using the advanced CBR approach77 cited
  • 2006Life-Cycle Cost Analysis (LCCA)46 cited

Cited by

  • 2021Application of Artificial Neural Networks in Construction Management: Current Status and Future Directions35 cited
  • 2022Implementation of a Life Cycle Cost Deep Learning Prediction Model Based on Building Structure Alternatives for Industrial Buildings18 cited

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