| 摘要: |
| 提出了一种基于长期记忆神经网络（LSTM）的时间序列预测方法,为防洪减灾及水资源利用提供了可靠的理论依据。 |
| 关键词: LSTM深度学习 相关性分析 预测 验证 |
| DOI： |
| 分类号:s2 |
| 基金项目: |
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| study on the prediction method of run off and sediment concentration of Jinghe River in Shanxi Province Based on LSTM deep learning |
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tongtaowen
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jiaokou pumping irrigation Adninistration Bureau of Shanxi Province
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| Abstract: |
| A time series prediction method based on long-term memory neural network is proposed,It provides a reliable theoretical basis for flood control and water resources utilization. |
| Key words: LSTM deep learning correlation analysis forecast verification |
