Intermittent Time Series Demand Forecasting Using Dual Convolutional Neural Networks
Forecasting intermittent demands is challenging due to their irregular and unpredictable demand pattern. This makes the businesses unprepared for upcoming demands, where the conventional methods often fail to predict the demand occurrence pattern sufficiently. In this paper, we proposed a two-step...
محفوظ في:
| المؤلفون الرئيسيون: | , , |
|---|---|
| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
Brno University of Technology
2024-06-01
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| سلاسل: | Mendel |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://mendel-journal.org/index.php/mendel/article/view/413 |
| الوسوم: |
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