… forecasting: Box–Jenkins and neural network model’. The … of using univariate models to
predict the tender price index … study, a comparison of both Box–Jenkins and artificial neural …

… module for forecasting values using the Box-Jenkins approach. … 7 represent the predicted
values of the Producer Price Index (… provided the best prediction results comparing to the single …

… used three techniques—a modified Artificial Neural Network (… Univariate time series analysis
is used in this study as it requires … The current study shows superior results compared to …

… on the comparison of the forecasting techniques, industry … and ARIMA techniques to predict
a tender price index for Hong … series data in the Box–Jenkins approach. The development …

… potential in predicting the changes of Tender Price Index in rapidly … intelligence techniques
as well as the Box–Jenkins time … Comparison of several prediction methods that were used by …

… neural network (ANN) have been adopted in the literature for … The GW test compares only
two competing forecasting … First, this study focused on univariate forecasting models using the …

… The tender price index was forecasted over a period of 12 quarters ahead using the … or
neural networks can be developed for forecasting ABI and their performances can be compared …

… This research contributes to improving forecasting accuracies of pipeline construction cost
… Comparing univariate techniques for tender price index forecasting: Box-Jenkins and neural …

… also made comparisons between the Artificial Neural Network … univariate models for tender
price index predictions. The modeling tools used in this study were Box-Jenkins and neural …

… are updated versions of recurrent neural network models (RNN), … The second step of the
Box-Jenkins model implementation is … This section compares the forecasting performance of the …