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Predicting the maintenance cost of construction equipment: Comparison between general regression neural network and Box–Jenkins time series models

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References

1979Distribution of the Estimators for Autoregressive Time Series with a Unit Root23,183 cited
1977Time Series Analysis: Forecasting and Control19,200 cited
1996Numerical distribution functions for unit root and cointegration tests3,119 cited
2000Time-Series Forecasting1,053 cited
2002Time-Series Forecasting107 cited
2004Artificial neural networks for non-stationary time series94 cited

Cited by

2021Improving Accuracy in Predicting City-Level Construction Cost Indices by Combining Linear ARIMA and Nonlinear ANNs65 cited
2020Data-Driven Machine Learning Approach to Integrate Field Submittals in Project Scheduling63 cited
2018Prediction of site overhead costs with the use of artificial neural network based model59 cited
2019Modelling Construction Site Cost Index Based on Neural Network Ensembles48 cited
2017Artificial Neural Networks for Construction Management: A Review46 cited

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