A Comparison of Various Forecasting Methods for Autocorrelated Time Series
The accuracy of forecasts significantly affects the overall performance of a whole supply chain system. Sometimes, the nature of consumer products might cause difficulties in forecasting for the future demands because of its complicated structure. In this study, two machine learning methods, artific...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2012-07-01
|
| Series: | International Journal of Engineering Business Management |
| Online Access: | https://doi.org/10.5772/51088 |