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基于LSTM和BP优化的水质分析,使用转移学习模型进行优化

Qun Luo1,2, Dingzhi Peng3,4, Wenjian Shang5

  • 1College of Water Sciences, Beijing Normal University, Beijing, 100875, China.

Environmental science and pollution research international
|November 24, 2023
PubMed
概括

本研究引入了一种用于城市水质分析的新型深度学习模型,通过结合河流上游和下游关系来提高预测准确性. 该方法为有效的水资源管理提供了有希望的方法,特别是在缺乏广泛监测数据的地区.

关键词:
这就是为什么B.P.B.B.B.北京的副中心.深度学习是一种深度学习.这是LSTM的LSTM.水的质量 水的质量

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