Soil water content forecasting by ANN and SVM hybrid architecture

Author:

Liu Hongbin,Xie Deti,Wu Wei

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine

Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A novel hybrid approach based on outlier and error correction methods to predict river discharge using meteorological variables;Environmental and Ecological Statistics;2024-07-23

2. Enhancing Power Transmission Line Fault Detection with a Hybrid ANN-SVM Machine Learning Model: A Comparative Study;2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS);2024-03-08

3. Robust Statistical Processing of Long-Time Data Series to Estimate Soil Water Content;Mathematical Geosciences;2023-09-19

4. A Stacked Machine Learning Algorithm for Multi-Step Ahead Prediction of Soil Moisture;Hydrology;2022-12-21

5. Contribution of Artificial intelligence to the Promotion of Mental Health;2022 5th International Conference on Contemporary Computing and Informatics (IC3I);2022-12-14

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