Intermittent Demand Forecasting Using LSTM With Single and Multiple Aggregation
Intermittent demand data is data with infrequent demand with varying number of demand sizes. Intermittent demand forecasting is useful for providing inventory control decisions. It is very important to produce accurate forecasts. Based on previous research, deep learning models, especially MLP and R...
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| Principais autores: | , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Ikatan Ahli Informatika Indonesia
2022-11-01
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| Serija: | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| Teme: | |
| Online dostop: | http://jurnal.iaii.or.id/index.php/RESTI/article/view/4435 |
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