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Time Series Forecasting and Classification Models Based on Recurrent with Attention Mechanism and Generative Adversarial Networks
Time series classification and forecasting have long been studied with the traditional statistical methods. Recently, deep learning achieved remarkable successes in areas such as image, text, video, audio processing, etc. However, research studies conducted with deep neural networks in these fields...
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| 出版年: | Sensors (Basel) |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7766176/ https://ncbi.nlm.nih.gov/pubmed/33339314 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20247211 |
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