OPTIMIZATION OF LSTM NETWORKS FOR TIME SERIES FORECASTING
Background. LSTM neural networks are a very promising means to develop time series analysis and forecasting. However, as well as neural networks for other fields and applications, LSTM networks have a lot of architecture versions, training parameters, and hyperparameters, whose inappropriate select...
محفوظ في:
| المؤلف الرئيسي: | |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
Igor Sikorsky Kyiv Polytechnic Institute
2021-12-01
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| سلاسل: | KPI Science News |
| الموضوعات: | |
| الوصول للمادة أونلاين: | http://scinews.kpi.ua/article/view/230989 |
| الوسوم: |
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