基于改进BCCSA和深层LSTM的空气质量预测方法

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基于改进BCCSA和深层LSTM的空气质量预测方法

#基于改进BCCSA和深层LSTM的空气质量预测方法| 来源: 网络整理| 查看: 265

1. Reliable Solar Irradiance Forecasting Approach Based on Choquet Integral and Deep LSTMs [J] . Abdel-Nasser Mohamed, Mahmoud Karar, Lehtonen Matti IEEE transactions on industrial informatics . 2021,第3期

机译:基于Choquet积分和深层LSTMS的可靠太阳辐照度预测方法

2. A Water Quality Prediction Method Based on the Deep LSTM Network Considering Correlation in Smart Mariculture [J] . Hu Zhuhua, Zhang Yiran, Zhao Yaochi, Nature reviews Cancer . 2019,第6期

机译:基于深层LSTM网络考虑智能海水养殖的相关性预测方法

3. Short-term wind speed predicting framework based on EEMD-GA-LSTM method under large scaled wind history [J] . Chen Yaoran, Dong Zhikun, Wang Yan, Energy Conversion & Management . 2021,第Jana期

机译:基于EEMD-GA-LSTM方法的短期风速预测框架在大型风历史下基于EEMD-GA-LSTM方法

4. A Novel Approach for Air Quality Inference and Prediction Based on DBU-LSTM [C] . Liang Ge, Aoli Zhou, Junling Liu, Aisa-Pacific web and web-age information management joint conference on web and big data . 2019

机译:基于DBU-LSTM的空气质量推断和预测的新方法

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机译:Salomon:一种基于混合,自适应控制的预测模型的通过智能生产改进业务流程的新方法。

6. A Water Quality Prediction Method Based on the Deep LSTM Network Considering Correlation in Smart Mariculture [O] . Zhuhua Hu, Yiran Zhang, Yaochi Zhao, 2019

机译:基于深层LSTM网络的考虑相关性的智能海水养殖水质预测方法

7. Traffic flow combination forecasting method based on improved LSTM and ARIMA [O] . Boyi Liu, Xiangyan Tang, Jieren Cheng, 2020

机译:基于改进LSTM和Arima的交通流组合预测方法

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机译:南海岸空气流域空气质量水平预测的改进方法研究进展。



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