时间序列深度学习模型的性能分析,用于不同时间间隔的室内水培温室气候预测

Oybek Eraliev1, Chul-Hee Lee2

  • 1Department of Future Vehicle Engineering, Inha University, 100 Inharo, Mitchuholgu, Incheon 22212, Republic of Korea.

PubMed
概括

深度学习模型准确地预测了温室气候条件. 长短记忆 (LSTM) 模型在较短的时间间隔中表现出色,用于优化室内水培温室环境.

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