Forecasting Analysis of Consumer Goods Demand using Neural Networks and ARIMA
Accurate forecasting of consumer demand for goods is extremely important as it allows companies to provide the right amount of goods at the right time. Autoregressive integrated moving average (ARIMA) is a popular method for forecasting time series data, and previous studies have shown that ARIM...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Indonesia
2015-12-01
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| Series: | International Journal of Technology |
| Subjects: | |
| Online Access: | http://ijtech.eng.ui.ac.id/article/view/1430 |