Construction Industry Development Council
Construction Cost Index
Mean Absolute Percentage Error
Mean Square Error
Root Mean Square Error
weight of bricks (1,000 nos) in CCI
weight of steel (ton) in CCI
weight of cement (ton) in CCI
weight of sand (m³) in CCI
unit price of bricks for i year
unit price of steel for i year
unit price of cement for i year
unit price of sand for i year
particular base year
Production of Bricks at the i
Production of Steel at the i
Production of Cement at the i
Production of Sand at the i
Unit Price of the Bricks at the i/1,000 nos
Unit Price of the Steel at the i/ton
Unit Price of the Cement at the i/ton
Unit Price of the Sand at the i/m³
Artificial Neural Network
Support Vector Machine
Consumer Price Index
Project Price Index
Gross Domestic Product
Construction and Operation Plan
Engineering News Record
Reserve Bank Money Supply
|M1 and M2|
Narrow Supply of Money
|M3 and M4|
Broad supply of Money
Reserve Bank of India
Program Evaluation Review Techniques
J.-W. Xu, “Stochastic forecast of construction cost index using a cointegrated vector autoregression model,” J. Manag. Eng., pp. 10–18, 2013.
S. Hwang, “Time series models for forecasting construction costs using time series indexes,” J. Construction Eng. Manag., pp. 656–662, 2011.
P. Williams, “Predicting changes in construction cost indexes using neural networks,” J. Construction Eng. Manag., pp. 306–320, 1994.
D. J. Lowe, “Predicting construction cost using multiple regression techniques,” J. Construction Eng. Manag., pp. 750–758, 2006.
H. Nam, Time Series Analysis of Construction Cost Index Using Wavelet Transformation and A Neural Network. Construction Automation Group, I.I.T. Madras, 2007, pp. 453–456.
S. Shahandashti, “Forecasting engineering news-record construction cost index using multivariate time series models,” J. Construction Eng. Manag., pp. 1237–1243, 2013.
J. Wang, “Predicting ENR construction cost index using machine-learning algorithms,” Int. J. Construct. Edu. Res., pp. 1–17, 2016.
Y. Elfahham, “Estimation and prediction of construction cost index using neural network, time series, and regression,” Alexandria Eng. J., pp. 499-506, 2019.
J. Wang, “Predicting ENR's construction cost index using the modified K nearest Neighbors algorithm,” Construct. Res. Cong., pp. 2502–2509, 2016.
N. Atabeyli, “Using historical data of economic variables in investigating variations in building construction cost index,” Creative Construction Conference, Turkey, pp. 718–723, 2018.
A. Zendehboudi, “Application of support vector machine models for forecasting solar and wind energy resources: A review,” J. Clean. Prod., pp. 272–285, 2018.
B. Ashuri, “Forecasting construction cost index using multivariate time series models,” J. Construction Eng. Manag., pp. 202–212, 2013.
R. J. Hyndman, “A state space framework for automatic forecasting using exponential smoothing methods,” Int. J. Forecast., vol. 18, no. 3, pp. 439–454, 2002.
J. K. Ord, “Estimation and prediction for a class of dynamic nonlinear statistical models,” J. Am. Stat. Assoc., 311–315, 1997.
A. L. Maia, “Holt’s exponential smoothing and neural network models for forecasting interval-valued time series,” Int. J. Forecast., vol. 27, no. 3, pp. 740–759, 2011.
A. A. Homayoun Khamooshi, “Project duration forecasting using earned duration management with exponential smoothing techniques,” J. Manag. Eng., vol. 33, no. 1, pp. 04016032, 2016.
T. M. Elhag, “Cost Modeling: neural networks vs regression techniques,” Int. Conf. on Construction Information Technology (INCITE), Langkawi, Malaysia, Construction Industry Development Board Malaysia (CIDB), 2004.
J. Cetkovic, “Assessment of the real estate market value in the European market by artificial neural networks application,” Complexity, pp. 1–10, 2018.
O. Kramer, Short-Term Wind Energy Forecasting Using Support Vector Regression, University of California, Berkeley, International Computer Science Institute, 2011, pp. 1–10.
J. Zeng, “Short-term wind power prediction using a wavelet support vector machine,” IEEE Trans. Sust. Energ., pp. 255–264, 2012.
M. G. Giorgi, “Comparison between wind power prediction models based on wavelet decomposition with least-squares support vector machine (LS-SVM) and artificial neural network (ANN),” Energies, pp. 5251–5272, 2014.
Akindele, “Corruption and economic retardation: A retrospective analysis of Nigeria's experience since independence,” Readings in the Political Economy of Nigeria since Independence, 1990.