has been cited by the following article(s):
[1]
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A review of the application of hybrid machine learning models to improve rainfall prediction
Modeling Earth Systems and Environment,
2024
DOI:10.1007/s40808-023-01835-x
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[2]
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A two-stage multiobjective evolutionary ensemble learning for silicon prediction in blast furnace
Complex & Intelligent Systems,
2024
DOI:10.1007/s40747-023-01199-w
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[3]
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A review of the application of hybrid machine learning models to improve rainfall prediction
Modeling Earth Systems and Environment,
2023
DOI:10.1007/s40808-023-01835-x
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[4]
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A combined model based on sparrow search optimized BP neural network and Markov chain for precipitation prediction in Zhengzhou City, China
Journal of Water Supply: Research and Technology-Aqua,
2022
DOI:10.2166/aqua.2022.047
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[5]
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Design and Implementation of the German Dual System Teacher Team Construction Management System Based on Improved Co-evolution Algorithm
2021 International Conference on Aviation Safety and Information Technology,
2021
DOI:10.1145/3510858.3510904
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[6]
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Design and Implementation of the German Dual System Teacher Team Construction Management System Based on Improved Co-evolution Algorithm
2021 International Conference on Aviation Safety and Information Technology,
2021
DOI:10.1145/3510858.3510904
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[7]
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Evolving Support Vector Regression by Co-Evolution Algorithm for Runoff Forecasting Modeling Research and Application
Computer Science and Application,
2020
DOI:10.12677/CSA.2020.103053
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[8]
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Long Short-Term Memory Neural Networks Based on Mean Generating Function for Runoff Prediction Modeling Research and Application
Modeling and Simulation,
2020
DOI:10.12677/MOS.2020.92018
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