A novel construction cost prediction model using hybrid natural and light gradient boosting

[1]  Michał Juszczyk,et al.  On the Search of Models for Early Cost Estimates of Bridges: An SVM-Based Approach , 2019, Buildings.

[2]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[3]  Gaël Varoquaux,et al.  Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..

[4]  Viren Chandanshive,et al.  Estimation of building construction cost using artificial neural networks , 2019 .

[5]  Min-Yuan Cheng,et al.  Conceptual cost estimates using evolutionary fuzzy hybrid neural network for projects in construction industry , 2010, Expert Syst. Appl..

[6]  Siavash Hosseinyalamdary,et al.  An artificial neural network approach for cost estimation of engineering services , 2019, International Journal of Construction Management.

[7]  Tianqi Chen,et al.  XGBoost: A Scalable Tree Boosting System , 2016, KDD.

[8]  Miroslaw J. Skibniewski,et al.  Data based complex network modeling and analysis of shield tunneling performance in metro construction , 2018, Adv. Eng. Informatics.

[9]  Dr. Nagaraj V. Dharwadkar,et al.  Prediction and estimation of civil construction cost using linear regression and neural network , 2018 .

[10]  Mario Vanhoucke,et al.  Support Vector Machine Regression for project control forecasting , 2014 .

[11]  Lukumon O. Oyedele,et al.  Guidelines for applied machine learning in construction industry - A case of profit margins estimation , 2020, Adv. Eng. Informatics.

[12]  Andrew Y. Ng,et al.  NGBoost: Natural Gradient Boosting for Probabilistic Prediction , 2019, ICML.

[13]  Christian Stoy,et al.  Conceptual Estimation of Construction Costs Using the Multistep Ahead Approach , 2016 .

[14]  Xinzheng Wang.  Application of fuzzy math in cost estimation of construction project , 2017 .

[15]  Tie-Yan Liu,et al.  LightGBM: A Highly Efficient Gradient Boosting Decision Tree , 2017, NIPS.

[16]  Haytham H. Elmousalami.  Artificial Intelligence and Parametric Construction Cost Estimate Modeling: State-of-the-Art Review , 2020 .

[17]  Michał Juszczyk,et al.  The Challenges of Nonparametric Cost Estimation of Construction Works with the use of Artificial Intelligence Tools , 2017 .

[18]  Lukumon O. Oyedele,et al.  Big Data in the construction industry: A review of present status, opportunities, and future trends , 2016, Adv. Eng. Informatics.

[19]  Long Le-Hoai,et al.  Revisiting storey enclosure method for early estimation of structural building construction cost , 2018 .

[20]  Joseph Ahn,et al.  Performance evaluation of normalization-based CBR models for improving construction cost estimation , 2020 .

[21]  Improving the Accuracy of Early Cost Estimates on Transportation Infrastructure Projects , 2020 .

[22]  Hugh Chen,et al.  From local explanations to global understanding with explainable AI for trees , 2020, Nature Machine Intelligence.

[23]  Arthur E. Mudge.  Value Engineering , 1988 .

[24]  Min-Yuan Cheng,et al.  Web-based conceptual cost estimates for construction projects using Evolutionary Fuzzy Neural Inference Model , 2009 .

[25]  Alphonse J. Dell'Isola.  Value engineering in the construction industry , 1973 .

[26]  Seyed Taghi Akhavan Niaki,et al.  Construction cost estimation of spherical storage tanks: artificial neural networks and hybrid regression—GA algorithms , 2018 .

[27]  A. M. El-Kholy,et al.  Prediction of simulated cost contingency for steel reinforcement in building projects: ANN versus regression-based models , 2020, International Journal of Construction Management.

[28]  Douglas D. Gransberg,et al.  Stochastic Conceptual Cost Estimating of Highway Projects to Communicate Uncertainty Using Bootstrap Sampling , 2017 .

[29]  Chen Wu,et al.  A framework for data-driven informatization of the construction company , 2019, Adv. Eng. Informatics.

[30]  Igor Pesko,et al.  Estimation of Costs and Durations of Construction of Urban Roads Using ANN and SVM , 2017, Complex..

[31]  Min-Yuan Cheng,et al.  Hybrid intelligence approach based on LS-SVM and Differential Evolution for construction cost index estimation: A Taiwan case study , 2013 .

[32]  Golam Kabir,et al.  Project time–cost trade-off: a Bayesian approach to update project time and cost estimates , 2017 .

[33]  Krzysztof Zima,et al.  The Case-based Reasoning Model of Cost Estimation at the Preliminary Stage of a Construction Project☆ , 2015 .

[34]  Nagaraj V. Dharwadkar,et al.  Cost estimation of civil construction projects using machine learning paradigm , 2017, 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC).

[35]  J. D. Tardós,et al.  Publish or Perish , 1987 .

[36]  Harleen Kaur,et al.  A hybrid conceptual cost estimating model using ANN and GA for power plant projects , 2017, Neural Computing and Applications.

[37]  M. Juszczyk.  Residential buildings conceptual cost estimates with the use of support vector regression , 2018 .

[38]  Maolin Cai,et al.  Manufacturing cost estimation based on a deep-learning method , 2020, Journal of Manufacturing Systems.

[39]  O. Alshamrani.  Initial cost forecasting model of mid-rise green office buildings , 2020 .

[40]  Yasser Elfahham,et al.  Estimation and prediction of construction cost index using neural networks, time series, and regression , 2019, Alexandria Engineering Journal.

[41]  Olav Torp,et al.  Cost Estimation Methods for Transport Infrastructure: A Systematic Literature Review , 2017 .

[42]  P. S. Kumar,et al.  Conceptual Cost Modelling for Sustainable Construction Project Planning— A Levenberg–Marquardt Neural Network Approach , 2019 .

[43]  Rifat Sonmez.  Range estimation of construction costs using neural networks with bootstrap prediction intervals , 2011, Expert Syst. Appl..

[44]  Yoshua. Bengio,et al.  Learning Deep Architectures for AI , 2007, Found. Trends Mach. Learn..

[45]  Jui-Sheng Chou,et al.  Optimized artificial intelligence models for predicting project award price , 2015 .

[46]  H. Murat Gunaydin,et al.  A neural network approach for early cost estimation of structural systems of buildings , 2004 .

[47]  Taehoon Hong,et al.  CBR Revision Model for Improving Cost Prediction Accuracy in Multifamily Housing Projects , 2010 .

[48]  Ksenija Tijanić,et al.  Cost estimation in road construction using artificial neural network , 2019, Neural Computing and Applications.

[49]  Changmin Kim,et al.  Hybrid principal component analysis and support vector machine model for predicting the cost performance of commercial building projects using pre-project planning variables , 2012 .