Comparison of School Building Construction Costs Estimation Methods Using Regression Analysis, Neural Network, and Support Vector Machine

Journals Menu

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journal of Building Construction and Planning Research

ISSN Print: 2328-4889
ISSN Online: 2328-4897
www.scirp.org/journal/jbcpr
E-mail: jbcpr@scirp.org

Google-based Impact Factor: 0.5
Citations h5-index & Ranking*

Journals Menu

"Comparison of School Building Construction Costs Estimation Methods Using Regression Analysis, Neural Network, and Support Vector Machine"
written by Gwang-Hee Kim, Jae-Min Shin, Sangyong Kim, Yoonseok Shin,
published by Journal of Building Construction and Planning Research, Vol.1 No.1, 2013

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	Identifying the risk factors affecting the overall cost risk in residential projects at the early stage
	Ain Shams Engineering Journal, 2022

[2]	Decentralizing construction AI applications using blockchain technology
	Expert Systems with Applications, 2022

[3]	Predictive Analytics for Early-Stage Construction Costs Estimation
	Buildings, 2022

[4]	Predicting performance measurement of residential buildings using machine intelligence techniques (MLR, ANN and SVM)
	khalek, SM Hafez - Iranian Journal of Science …, 2022

[5]	A Multilayer Perception for Estimating the Overall Risk of Residential Projects in the Conceptual Stage
	Buildings, 2022

[6]	Machine Learning based Cost Prediction for Product Development in Mechanical Engineering
	Procedia CIRP, 2022

[7]	Determining the Construction Costs for Basic Type to Estimate the Sale Prices of New Multi-Family Housing Projects
	Buildings, 2022

[8]	Data–model integration layer
	Digital Twins in the …, 2022

[9]	Prediction of Building Construction Project Cost Using Support Vector Machine
	Industrial Engineering and Strategic …, 2021

[10]	Jednostavna formula za ranu procjenu troškova na građevinskim projektima
	Građevinar, 2021

[11]	Evaluation of Indirect Cost Estimation in the Egyptian Construction Industry
	2021

[12]	Improving the ABK Estimation Process of Dura Vermeer
	2021

[13]	The Estimation Modeling of Abutment Volume with Variations of Bridge Span, Abutment Height, and Seismic Zone
	Journal of the Civil …, 2021

[14]	Improvement in Estimating Durations for Building Projects Using Artificial Neural Network and Sensitivity Analysis
	2021

[15]	Investment Probabilistic Interval Estimation for Construction Project Using the Hybrid Model of SVR and GWO
	2021

[16]	Efficient estimation and optimization of building costs using machine learning
	2021

[17]	A Review of Building Construction Cost Research: Current Status, Gaps and Green Buildings
	2021

[18]	On Outsourcing Artificial Neural Network Learning of Privacy-Sensitive Medical Data to the Cloud
	2021 IEEE 33rd …, 2021

[19]	A simple formulation for early-stage cost estimation of building construction projects
	Građevinar, 2021

[20]	Research on Economic Mathematical Analysis and Construction Model of Prefabricated Building Structure Based on Improved Neural Network Algorithm
	2021

[21]	Development of cost estimation models based on ANN ensembles and the SVM method
	2020

[22]	Estimation Modeling of Abutment Volume with Variations of Bridge Span, Abutment Height, and Seismic Zone
	2020

[23]	A hybrid approach for a cost estimate of residential buildings in Egypt at the early stage
	2020

[24]	On the Search of Models for Early Cost Estimates of Bridges: An SVM-Based Approach
	2020

[25]	State-of-the-art on research and applications of machine learning in the building life cycle
	2020

[26]	COMPARATIVE ANALYSIS OF CONSTRUCTION COST ESTIMATION USING ARTIFICIAL NEURAL NETWORKS
	2020

[27]	Estimating the construction schools cost in Ho Chi Minh City using Artificial Neural Network
	2020

[28]	ANALISIS BIAYA PEKERJAAN STRUKTUR BETON MENGGUNAKAN METODE AHSP (STUDI KASUS: RUMAH TINGGAL TYPE 90/72)
	2020

[29]	Preliminary Cost Estimation Modeling for School Buildings in Sulaimani Governorate
	2020

[30]	Conceptual Cost Estimate of Buildings Using Regression Analysis In Egypt
	IOSR Journal of Mechanical and Civil Engineering, 2020

[31]	Model for construction schedule and cost prediction using regularized gradient boosted regression tree algorithm
	2020

[32]	Avfallsfrie byggeplasser
	2020

[33]	PROGRAM PRAKTIS PENYUSUN BILL OF QUANTITY PEMBANGUNAN RUKO DENGAN ANALISIS REGRESI
	2019

[34]	Informations-und Planungsmodell für Fertigungsmanagementsysteme: Information and planning model for manufacturing execution systems
	2019

[35]	Artificial Intelligence and Parametric Construction Cost Estimate Modeling: State-of-the-Art Review
	2019

[36]	Tadamun-Für immer verbunden
	2019

[37]	An Artificial Neural System to Predict Building Demolition Cost
	2019

[38]	Modeling Road Construction Project Cost in the Philippines Using the Artificial Neural Network Approach
	2019

[39]	Greening affordable housing: An interactive approach
	2019

[40]	Neural network models for actual cost prediction in Greek public highway projects
	2019

[41]	Transfer Function Analysis: Modelling Residential Building Costs in New Zealand by Including the Influences of House Price and Work Volume
	2019

[42]	Intelligent methodology for project conceptual cost prediction
	2019

[43]	Predicting implementation cost contingencies for residential construction projects in flood-prone areas
	2019

[44]	การ วิเคราะห์ ความ สัมพันธ์ ของ ปริมาณ วัสดุ ก่อสร้าง สำหรับ อาคาร คอนกรีตเสริมเหล็ก ระหว่าง วิธี แบบ จำลอง การ ถดถอย เชิงซ้อน และ วิธี โครง ข่าย ประสาท เทียม
	2019

[45]	Suche im Ring des Wissens: Roman
	2019

[46]	Discussion on the prediction of engineering cost based on improved BP neural network algorithm
	Journal of Intelligent & Fuzzy Systems, 2019

[47]	Sustainable Construction and Waste Management in Malaysian Residential Projects
	2019

[48]	Preliminary Construction Cost Estimate in Yemen by Artificial Neural Network
	2019

[49]	Cost Prediction for Green Affordable Housing in Nigeria
	2019

[50]	Cost Estimates of Buildings' Floor Structural Frames with the Use of Support Vector Regression
	2019

[51]	Modelling cost and time performance of public building projects in a terror impacted area of Nigeria
	2019

[52]	Accident Analysis for Construction Safety Using Latent Class Clustering and Artificial Neural Networks
	2019

[53]	Conceptual Estimation of Cost Significant Model on Shop-Houses Construction
	2018

[54]	Artificial Neural Networks and Fuzzy Neural Networks for Solving Civil Engineering Problems
	Complexity, 2018

[55]	Conceptual cost estimation decision support system in university construction projects
	2018

[56]	Kamu bina inşaat ihalelerinde sözleşme bedelinin yapay zeka teknikleri ile belirlenmesi
	2018

[57]	Prediction and estimation of civil construction cost using linear regression and neural network
	International Journal of Intelligent Systems Design and Computing, 2018

[58]	Cost Calculation of Construction Projects Including Sustainability Factors Using the Case Based Reasoning (CBR) Method
	Sustainability, 2018

[59]	Clustering of sports fields as specific construction objects aided by Kohonen's neural networks
	AIP Conference Proceedings, 2018

[60]	Residential buildings conceptual cost estimates with the use of support vector regression
	MATEC Web of Conferences, 2018

[61]	Development of an artificial neural network model for predicting the impact of risk on cost of building projects
	2018

[62]	Factors affecting construction cost estimation of building projects
	2017

[63]	Cost Estimation of Reinforced Concrete Structural System via Artificial Neural Networks Model
	ICOCEE – CAPPADOCIA, 2017

[64]	Cost forecasting using RCF: a case study for planning public building projects costs in Turkey
	International Journal of Construction Management, 2017

[65]	Estimated budget construction housing using linear regression model easy and fast solutions accurate
	2017

[66]	Estimation of Costs and Durations of Construction of Urban Roads Using ANN and SVM
	Complexity, 2017

[67]	BIM-based software for construction waste analytics using artificial intelligence hybrid models
	2017

[68]	Artificial Neural Networks for Construction Management: A Review
	2017

[69]	The Challenges of Nonparametric Cost Estimation of Construction Works with the use of Artificial Intelligence Tools
	Procedia Engineering, 2017

[70]	Scheduling Strategies for Construction Project Managers Toward On Time Delivery
	Walden Dissertations and Doctoral Studies, 2017

[71]	CONSTRUCTION COST PREDICTION USING NEURAL NETWORKS.
	ICTACT Journal on Soft Computing, 2017

[72]	A Qualitative–Quantitative Model of Cost Estimate for Construction Projects in Yemen
	2017

[73]	Cost estimation of civil construction projects using machine learning paradigm
	2017

[74]	Construction costs forecasting: comparison of the accuracy of linear regression and support vector machine models
	2017

[75]	Predviđanje troškova građenja: usporedba točnosti modela linearne regresije i modela podupirućih vektora
	Tehni?ki vjesnik, 2017

[76]	Integrated Condition Assessment of Subway Networks Using Computer Vision and Nondestructive Evaluation Techniques
	2017

[77]	Development of hybrid model for estimating construction waste for multifamily residential buildings using artificial neural networks and ant colony optimization
	Sustainability, 2016

[78]	A Project Cost Forecasting Method Based on Grey System Theory
	2016

[79]	Development of a Parametric Cost Estimating Model for University of Alaska System Renovation Construction Projects
	2016

[80]	Scenario simulation model for optimized allocation of construction machinery
	Građevinar: časopis Hrvatskog saveza građevinskih inženjera, 2016

[81]	Scenarijski simulacijski model za optimalnu alokaciju građevinskih strojeva
	Građevinar, 2016

[82]	Development of Hybrid Model for Estimating Construction Waste for Multifamily Residential Buildings Using Artificial Neural Networks and Ant Colony …
	Sustainability, 2016

[83]	Parametric Cost Estimation of Resurfacing Projects Using Ridge Regression and a Generalized Feedforward Neural Network
	2016

[84]	FUNDAMENTALS OF ECONOMICS IN SUSTAINABLE CONSTRUCTION
	2015

[85]	Cost estimation for electric light and power elements during building design: A neural network approach
	Engineering, Construction and Architectural Management, 2015

[86]	A neural network based model for cost estimation of industrial building at the project's definition phase
	2015

[87]	Unit rate-based cost estimating–input and methods
	Czasopismo Techniczne, 2015

[88]	Application of boosting regression trees to preliminary cost estimation in building construction projects
	Computational Intelligence and Neuroscience, 2015

[89]	Analysis on Current State on Safety Education of Korean Construction sites in Overseas.
	Applied Mechanics & Materials, 2015

[90]	Analysis on Current State on Safety Education of Korean Construction Sites in Overseas
	Applied Mechanics and Materials, 2015

[91]	Cost estimation for electric light and power elements during building design
	2015

[92]	A METHODOLOGY TO MAKE ACCURATE PRELIMINARY ESTIMATES OF CONSTRUCTION MATERIAL QUANTITIES FOR CONSTRUCTION PROJECTS
	Thesis, 2014

[93]	A process for the development and evaluation of preliminary construction material quantity estimation models using backward elimination regression and neural …
	Journal of Cost Analysis and Parametrics, 2014

[94]	A Process for the Development and Evaluation of Preliminary Construction Material Quantity Estimation Models Using Backward Elimination Regression and Neural Networks
	Journal of Cost Analysis and Parametrics, 2014

[95]	UNIT RATE-BASED COST ESTIMATING–INPUT AND METHODS UPROSZCZONA KALKULACJA KOSZTU BUDOWY–PODSTAWY I METODY
	A CZARNIGOWSKA - suw.biblos.pk.edu.pl, 2014

[96]	A New Construction Process in Core Wall of High-Rise Building: Core Structure Succeeding Method
	Advanced Materials Research, 2014

[97]	A Case Study of Retaining Wall Using Pre-Stressed High-Strength Concrete (PHC) Pile for Deep Excavation Work
	Advanced Materials Research, 2013

[98]	A Case Study of Reinforced Self-Supported Retaining Wall (RSW)
	Applied Mechanics and Materials, 2013

[99]	A Case Study on the Application of Computational Intelligence to Identifying Relationships between Land use Characteristics and Damages caused by Natural Hazards: A SVR Approach
	?International Journal of Software Engineering and Its Applications?, 2013

[100]	Optimizing the Mixing Proportion with Neural Networks Based on Genetic Algorithms for Recycled Aggregate Concrete
	Advances in Materials Science and Engineering?, 2013

[101]	A Case Study on the Application of Computational Intelligence to Identifying Relationships between Land use Characteristics and Damages caused by Natural Hazards: A SVR Approach
	International Journal of Software Engineering and Its Applications, 2013

[102]	Web design system based on neural networks for strength and mixing proportion prediction of RAC
	網際網路技術學刊, 2013

[103]	PERFROMANCE ANALYSIS OF MLP, C4. 5 AND NAÏVE BAYES CLASSIFICATION ALGORITHMS USING INCOME AND IRIS DATASETS
	2013

[104]	A Case Study on the Application of Computational Intelligence to Identifying Relationships between Land use Characteristics and Damages caused by Natural …
	2013

[105]	PROGRAM STUDI D-IV TEKNIK PERANCANGAN JALAN DAN JEMBATAN KONSENTRASI JALAN TOL POLITEKNIK NEGERI JAKARTA


[106]	Application of machine learning in project management


[107]	Comparative analysis of Construction Cost Estimation model using SVM and Regression Analysis


[108]	Comparison of the Performance of “Unit Area Cost Method”(UACM) and “Unit Price Method”(UPM) Used in Estimating the Costs of the Reinforced Concrete …

[1]	Office property price index forecasting using neural networks Journal of Financial Management of Property and Construction , 2024 DOI:10.1108/JFMPC-08-2022-0041

[2]	ANN-based estimation model for the preconstruction cost of pavement rehabilitation projects International Journal of Construction Management, 2023 DOI:10.1080/15623599.2023.2239445

[3]	Appropriate budget contingency determination for construction projects: State-of-the-art Alexandria Engineering Journal, 2023 DOI:10.1016/j.aej.2023.07.035

[4]	A bibliometric review of the statistical modelling techniques for cost estimation of infrastructure projects Smart and Sustainable Built Environment, 2023 DOI:10.1108/SASBE-01-2023-0005

[5]	Composite property price index forecasting with neural networks Property Management, 2023 DOI:10.1108/PM-11-2022-0086

[6]	Efficient estimation and optimization of building costs using machine learning International Journal of Construction Management, 2023 DOI:10.1080/15623599.2021.1943630

[7]	Using Machine Learning to Improve Cost and Duration Prediction Accuracy in Green Building Projects Journal of Construction Engineering and Management, 2023 DOI:10.1061/JCEMD4.COENG-13101

[8]	Office property price index forecasting using neural networks Journal of Financial Management of Property and Construction , 2023 DOI:10.1108/JFMPC-08-2022-0041

[9]	Machine Learning based Cost Prediction for Product Development in Mechanical Engineering Procedia CIRP, 2022 DOI:10.1016/j.procir.2022.04.043

[10]	Decentralizing construction AI applications using blockchain technology Expert Systems with Applications, 2022 DOI:10.1016/j.eswa.2022.116548

[11]	Decentralizing construction AI applications using blockchain technology Expert Systems with Applications, 2022 DOI:10.1016/j.eswa.2022.116548

[12]	A Multilayer Perception for Estimating the Overall Risk of Residential Projects in the Conceptual Stage Buildings, 2022 DOI:10.3390/buildings12040480

[13]	Machine Learning based Cost Prediction for Product Development in Mechanical Engineering Procedia CIRP, 2022 DOI:10.1016/j.procir.2022.04.043

[14]	Predicting Performance Measurement of Residential Buildings Using Machine Intelligence Techniques (MLR, ANN and SVM) Iranian Journal of Science and Technology, Transactions of Civil Engineering, 2022 DOI:10.1007/s40996-021-00742-4

[15]	Predictive Analytics for Early-Stage Construction Costs Estimation Buildings, 2022 DOI:10.3390/buildings12071043

[16]	Determining the Construction Costs for Basic Type to Estimate the Sale Prices of New Multi-Family Housing Projects Buildings, 2022 DOI:10.3390/buildings12101691

[17]	Statistical cost modelling for preliminary stage cost estimation of infrastructure projects IOP Conference Series: Earth and Environmental Science, 2022 DOI:10.1088/1755-1315/1101/5/052031

[18]	Research on Economic Mathematical Analysis and Construction Model of Prefabricated Building Structure Based on Improved Neural Network Algorithm Mathematical Problems in Engineering, 2021 DOI:10.1155/2021/5362357

[19]	Efficient estimation and optimization of building costs using machine learning International Journal of Construction Management, 2021 DOI:10.1080/15623599.2021.1943630

[20]	On Outsourcing Artificial Neural Network Learning of Privacy-Sensitive Medical Data to the Cloud 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), 2021 DOI:10.1109/ICTAI52525.2021.00062

[21]	Investment Probabilistic Interval Estimation for Construction Project Using the Hybrid Model of SVR and GWO Journal of Construction Engineering and Management, 2021 DOI:10.1061/(ASCE)CO.1943-7862.0002032

[22]	Improvement in Estimating Durations for Building Projects Using Artificial Neural Network and Sensitivity Analysis Journal of Construction Engineering and Management, 2021 DOI:10.1061/(ASCE)CO.1943-7862.0002036

[23]	Accident Analysis for Construction Safety Using Latent Class Clustering and Artificial Neural Networks Journal of Construction Engineering and Management, 2020 DOI:10.1061/(ASCE)CO.1943-7862.0001762

[24]	Development of Cost Estimation Models Based on ANN Ensembles and the SVM Method Civil and Environmental Engineering Reports, 2020 DOI:10.2478/ceer-2020-0033

[25]	Estimating the construction schools cost in Ho Chi Minh City using Artificial Neural Network IOP Conference Series: Materials Science and Engineering, 2020 DOI:10.1088/1757-899X/869/6/062014

[26]	Artificial Intelligence and Parametric Construction Cost Estimate Modeling: State-of-the-Art Review Journal of Construction Engineering and Management, 2020 DOI:10.1061/(ASCE)CO.1943-7862.0001678

[27]	A hybrid approach for a cost estimate of residential buildings in Egypt at the early stage Asian Journal of Civil Engineering, 2020 DOI:10.1007/s42107-020-00237-z

[28]	Development of Cost Estimation Models Based on ANN Ensembles and the SVM Method Civil and Environmental Engineering Reports, 2020 DOI:10.2478/ceer-2020-0033

[29]	Development of Cost Estimation Models Based on ANN Ensembles and the SVM Method Civil and Environmental Engineering Reports, 2020 DOI:10.2478/ceer-2020-0033

[30]	Development of Cost Estimation Models Based on ANN Ensembles and the SVM Method Civil and Environmental Engineering Reports, 2020 DOI:10.2478/ceer-2020-0033

[31]	Preliminary Construction Cost Estimate in Yemen by Artificial Neural Network Baltic Journal of Real Estate Economics and Construction Management, 2019 DOI:10.2478/bjreecm-2019-0007

[32]	Preliminary Construction Cost Estimate in Yemen by Artificial Neural Network Baltic Journal of Real Estate Economics and Construction Management, 2019 DOI:10.2478/bjreecm-2019-0007

[33]	Modeling Road Construction Project Cost in the Philippines Using the Artificial Neural Network Approach 2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM ), 2019 DOI:10.1109/HNICEM48295.2019.9072820

[34]	An Artificial Neural System to Predict Building Demolition Cost 2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM ), 2019 DOI:10.1109/HNICEM48295.2019.9072750

[35]	Cost Estimates of Buildings’ Floor Structural Frames with the Use of Support Vector Regression IOP Conference Series: Earth and Environmental Science, 2019 DOI:10.1088/1755-1315/222/1/012007

[36]	Predicting implementation cost contingencies for residential construction projects in flood-prone areas International Journal of Managing Projects in Business, 2019 DOI:10.1108/IJMPB-04-2018-0071

[37]	Transfer Function Analysis: Modelling Residential Building Costs in New Zealand by Including the Influences of House Price and Work Volume Buildings, 2019 DOI:10.3390/buildings9060152

[38]	Discussion on the prediction of engineering cost based on improved BP neural network algorithm Journal of Intelligent & Fuzzy Systems, 2019 DOI:10.3233/JIFS-179193

[39]	On the Search of Models for Early Cost Estimates of Bridges: An SVM-Based Approach Buildings, 2019 DOI:10.3390/buildings10010002

[40]	Cost Calculation of Construction Projects Including Sustainability Factors Using the Case Based Reasoning (CBR) Method Sustainability, 2018 DOI:10.3390/su10051608

[41]	Clustering of sports fields as specific construction objects aided by Kohonen’s neural networks 2018 DOI:10.1063/1.5043870

[42]	Residential buildings conceptual cost estimates with the use of support vector regression MATEC Web of Conferences, 2018 DOI:10.1051/matecconf/201819604090

[43]	The Challenges of Nonparametric Cost Estimation of Construction Works with the use of Artificial Intelligence Tools Procedia Engineering, 2017 DOI:10.1016/j.proeng.2017.07.218

[44]	Estimation of Costs and Durations of Construction of Urban Roads Using ANN and SVM Complexity, 2017 DOI:10.1155/2017/2450370

[45]	Cost estimation of civil construction projects using machine learning paradigm 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2017 DOI:10.1109/I-SMAC.2017.8058249

[46]	Parametric Cost Estimation of Resurfacing Projects Using Ridge Regression and a Generalized Feedforward Neural Network Construction Research Congress 2016, 2016 DOI:10.1061/9780784479827.073

[47]	Development of Hybrid Model for Estimating Construction Waste for Multifamily Residential Buildings Using Artificial Neural Networks and Ant Colony Optimization Sustainability, 2016 DOI:10.3390/su8090870

[48]	Cost estimation for electric light and power elements during building design Engineering, Construction and Architectural Management, 2015 DOI:10.1108/ECAM-01-2014-0010

[49]	Application of Boosting Regression Trees to Preliminary Cost Estimation in Building Construction Projects Computational Intelligence and Neuroscience, 2015 DOI:10.1155/2015/149702

[50]	Analysis on Current State on Safety Education of Korean Construction Sites in Overseas Applied Mechanics and Materials, 2015 DOI:10.4028/www.scientific.net/AMM.752-753.1224

[51]	A Process for the Development and Evaluation of Preliminary Construction Material Quantity Estimation Models Using Backward Elimination Regression and Neural Networks Journal of Cost Analysis and Parametrics, 2014 DOI:10.1080/1941658X.2014.984880

[52]	Optimizing the Mixing Proportion with Neural Networks Based on Genetic Algorithms for Recycled Aggregate Concrete Advances in Materials Science and Engineering, 2013 DOI:10.1155/2013/527089

[53]	A Case Study of Retaining Wall Using Pre-Stressed High-Strength Concrete (PHC) Pile for Deep Excavation Work Advanced Materials Research, 2013 DOI:10.4028/www.scientific.net/AMR.724-725.1478

[54]	A Case Study of Reinforced Self-Supported Retaining Wall (RSW) Applied Mechanics and Materials, 2013 DOI:10.4028/www.scientific.net/AMM.353-356.2799

Follow SCIRP

	+1 323-425-8868
	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Journal of Building Construction and Planning Research

Journal of Building Construction and Planning Research

Journals Menu

Home

About SCIRP

Service

Policies