Neural network-based interval forecasting of construction material prices

M Mir, HMD Kabir, F Nasirzadeh, A Khosravi - Journal of Building …, 2021 - Elsevier
Accurate prediction of material costs is essential for proper management and budgeting of
construction projects. Material price fluctuation is one of the most important contributors to …

Automated time-series cost forecasting system for construction materials

S Hwang, M Park, HS Lee, H Kim - Journal of construction …, 2012 - ascelibrary.org
As large-scale building projects increase in frequency, their construction costs become a
matter of great concern, especially because of their lengthy construction periods. In …

Interval estimation of construction cost at completion using least squares support vector machine

MY Cheng, ND Hoang - Journal of Civil Engineering and …, 2014 - Taylor & Francis
Completing a project within the planned budget is the bottom-line of construction
companies. To achieve this goal, periodic cost estimation is vitally important not only in the …

Neural networks model for prediction of construction material prices in Egypt using macroeconomic indicators

A Shiha, EM Dorra, K Nassar - Journal of Construction Engineering …, 2020 - ascelibrary.org
Adequate cost estimation at the planning phase is an integral part of a construction project's
success. Many uncertainties disturb the planners' initial estimations and lead to cost …

Improving accuracy in predicting city-level construction cost indices by combining linear ARIMA and nonlinear ANNs

S Kim, CY Choi, M Shahandashti… - Journal of Management in …, 2022 - ascelibrary.org
Accurate cost forecasting in budget planning and contract bidding is crucial for the success
of construction projects. Linear models such as the autoregressive integrated moving …

[HTML][HTML] Estimation and prediction of construction cost index using neural networks, time series, and regression

Y Elfahham - Alexandria Engineering Journal, 2019 - Elsevier
Estimating construction costs and predicting price escalation are major steps for project
owners, estimators, and contractors. The construction costs are always subject to …

ANN-based prediction intervals to forecast labour productivity

F Nasirzadeh, HMD Kabir, M Akbari… - Engineering …, 2020 - emerald.com
Purpose This study aims to propose the adoption of artificial neural network (ANN)-based
prediction intervals (PIs) to give more reliable prediction of labour productivity using …

Predicting construction materials prices using fuzzy logic and neural networks

M Marzouk, A Amin - Journal of construction engineering and …, 2013 - ascelibrary.org
Abstract Changes in construction materials prices have a great impact on the cost of
construction projects. Such changes in prices occur randomly at different rates over time …

Forecasting construction material prices using vector error correction model

SAM Faghih, H Kashani - Journal of construction engineering and …, 2018 - ascelibrary.org
This paper presents a vector error correction (VEC) model for use in forecasting the short-
and long-term prices of construction materials. This model characterizes the relationship …

Predicting ENR construction cost index using machine-learning algorithms

J Wang, B Ashuri - International Journal of Construction Education …, 2017 - Taylor & Francis
ABSTRACT Construction Cost Index (CCI) is calculated monthly and published by
Engineering News-Record (ENR). CCI is utilized for capital project budgeting and …