Estimation of life-cycle costs of buildings: regression vs artificial neural network

QR Code

Estimation of life-cycle costs of buildings: regression vs artificial neural network

Purpose – The purpose of this paper is to compare the performance of regression and artificial-neural-networks (ANNs) methods to estimate the running cost of building projects towards improved accuracy. Design/methodology/approach – A data set of 20 building projects is used to test the performance...

Full description

Bibliographic Details
Main Authors:	Alqahtani, Ayedh, Whyte, Andrew
Format:	Journal Article
Published:	Emerald Group Publishing 2016
Online Access:	http://hdl.handle.net/20.500.11937/52787

Similar Items

Artificial Neural Networks Incorporating Cost Significant Items towards Enhancing Estimation for (life-cycle) Costing of Construction Projects
by: Alqahtani, Ayedh, et al.
Published: (2013)

Utilising artificial neural networks (ANNs) towards accurate estimation of life-cycle costs for construction projects
by: Alqahtani, Ayedh Mohammad A
Published: (2015)

Evaluation of non-cost factors affecting the life cycle cost: an exploratory study
by: Alqahtani, Ayedh, et al.
Published: (2016)

Bank customer classification in Indonesia: logistic regression vs artificial neural networks.
by: Abduh, Muhamad, et al.
Published: (2013)

Life-Cycle Cost Analysis of Built Assets - LCCA Framework
by: Whyte, Andrew
Published: (2011)

Life-cycle costing analysis to assist design decisions: beyond 3D building information modelling
by: Whyte, Andrew, et al.
Published: (2010)

Life-Cycle Cost Analysis for Infrastructure/Pavement Design
by: Whyte, Andrew, et al.
Published: (2012)

Remaining life estimation of used components in consumer products: Life cycle data analysis by Weibull and artificial neural networks
by: Mazhar, Ilyas, et al.
Published: (2007)

Life-cycle cost analysis of infrastructure pavement applications in Western Australia
by: Whyte, Andrew, et al.
Published: (2013)

Life-Cycle Cost Analysis to Evaluate Infrastructure Pavement Design in Western Australia
by: Whyte, Andrew, et al.
Published: (2012)

Development of a robust hybrid estimator using partial least squares regression and artificial neural networks.
by: Ahmad, Arshad, et al.
Published: (2003)

Life-Cycle Assessment of Built-Asset Waste Materials
by: Whyte, Andrew
Published: (2011)

Estimation of boiler's tubes life, Artificial Neural Networks approach / Murtadha F. Muhsen
by: F. Muhsen, Murtadha
Published: (2011)

Identification of cost data input in life cycle cost (LCC) for building projects
by: Ayob, Mohd Fairullazi, et al.
Published: (2014)

Life cycle cost
by: Abdul Rashid, Khairuddin, et al.
Published: (2016)

Life Cycle Costing Analyses of Offshore Substructure Options: Pile-On-Water V Floating-Substructure V Traditional-Land-Option
by: Whyte, Andrew, et al.
Published: (2011)

Critical review and methodological issues in integrated life-cycle analysis on road networks
by: Hasan, Umair, et al.
Published: (2019)

Surface EMG classification for prosthesis control: fuzzy logic vs. artificial neural network
by: Ahmad, Siti Anom, et al.
Published: (2012)

Investigation of quality of cost data for life cycle cost analysis in university building maintenance
by: Bidi, Nor Khalisah, et al.
Published: (2015)

Evaluation of building performance using artificial neural network: study on service life planning in achieving sustainability
by: Yatim, J. M., et al.
Published: (2007)

Reflected radiation intensity estimation using artificial neural network
by: Eusuf, Muhammad Abu, et al.
Published: (2011)

Review of artificial neural network model for suspended sediment estimation
by: Rezapour, Omolbani Mohamad, et al.
Published: (2010)

Identifying methodology to investigate cost data input in life cycle cost analysis of a building
by: Ayob, Mohd Fairullazi, et al.
Published: (2014)

Life cycle cost estimation and environmental valuation of coal mine tailings management
by: Adiansyah, Joni Safaat, et al.
Published: (2017)

Modeling the viscosity of nanofluids using artificial neural network and Bayesian support vector regression
by: Alade, Ibrahim Olanrewaju, et al.
Published: (2020)

Modelling the viscosity of nanofluids using artificial neural network and Bayesian support vector regression
by: Alade, Ibrahim Olanrewaju, et al.
Published: (2020)

An artificial neural network approach in service life prediction of building components in Malaysia based on local environment and building service load
by: Tapsir, Siti Hamisah, et al.
Published: (2007)

Investigation on reliability and validity of Life Cycle Cost (LCC) data inputs of building
by: Ayob, Mohd Fairullazi, et al.
Published: (2016)

Investigating the reliability and validity of data inputs for building life cycle cost (LCC)
by: Ayob, Mohd Fairullazi, et al.
Published: (2011)

Life-cycle asset management in residential developments building on transport system critical attributes via a data-mining algorithm
by: Hasan, U., et al.
Published: (2018)

Artificial neural network
by: Muhamad Nor, Norfarina, et al.
Published: (2016)

Offline artificial neural network rotor flux estimator for induction motor
by: Siti Nursyuhada, Mahsahirun, et al.
Published: (2020)

Modeling flood estimation using fuzzy logic & artificial neural network
by: Borujeni, Sattar Chavoshi, et al.
Published: (2009)

Air Pollution Index Estimation Model Based On Artificial Neural Network
by: Mohammed Nasser, Al-Subaie
Published: (2021)

Life cycle cost for construction projects
by: Ayob, Mohd Fairullazi
Published: (2018)

Bank customer classification in Indonesia: logistic regression vis-a-vis artificial neural networks
by: Abduh, Muhamad, et al.
Published: (2012)

Prediction of tool life in end milling of Ti-6Al-4V alloy using artificial neural network and multiple regression models
by: Salah al-Zubaidi,, et al.
Published: (2013)

Flank Wear Modeling in High Speed Hard Turning by using artificial Neural Network and Regression Analysis
by: Al Hazza, Muataz Hazza Faizi, et al.
Published: (2011)

Optimizing overbreak prediction based on geological parameters comparing multiple regression analysis and artificial neural network
by: Jang, Hyongdoo, et al.
Published: (2013)

Pm10 Concentrations Short Term Prediction Using Regression, Artificial Neural Network And Hybrid Models
by: Japeri, Ahmad Zia Ul-Saufie Mohamad
Published: (2013)

Cannot write session to /tmp/vufind_sessions/sess_gd4ii6ohhl3mu5l1un54tc4ee8