Improved online sequential extreme learning machine for simulation of daily reference evapotranspiration
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Instituto Mexicano de Tecnologia del Agua
Cited by 7 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. Applicability of hybrid bionic optimization models with kernel-based extreme learning machine algorithm for predicting daily reference evapotranspiration: a case study in arid and semiarid regions, China;Environmental Science and Pollution Research;2022-10-26
2. Prediction Model for Daily Reference Crop Evapotranspiration Based on Hybrid Algorithm in Semi-Arid Regions of China;Atmosphere;2022-06-06
3. Decision-making technology based on knowledge engineering and experiment on the intelligent water-fertilizer irrigation system;Journal of Computational Methods in Sciences and Engineering;2021-08-02
4. Extreme Learning Machine for Business Sales Forecasts: A Systematic Review;Proceedings of the 5th Brazilian Technology Symposium;2020-12-16
5. Forecasting Rainfall with Recurrent Neural Network for irrigation equipment;IOP Conference Series: Earth and Environmental Science;2020-06-01
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