机译:集成遗传算法和支持向量机的半干旱山区日常参考蒸散量建模
Key Laboratory of Ecohydrology of Inland River Basin, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China;
Key Laboratory of Ecohydrology of Inland River Basin, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China,corresponding author;
Key Laboratory of Ecohydrology of Inland River Basin, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China;
Key Laboratory of Ecohydrology of Inland River Basin, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China;
Key Laboratory of Ecohydrology of Inland River Basin, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China;
Key Laboratory of Ecohydrology of Inland River Basin, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China;
climatic variables; genetic algorithm; reference evapotranspiration modeling; semi-arid mountain areas; support vector machine;
机译:基于支持向量机的极端干旱地区气候数据有限的每日参考蒸散量模型
机译:基于支持向量机的极端干旱地区气候数据有限的每日参考蒸散量模型
机译:在伊朗干旱地区使用混合伽马测试-最小二乘支持向量机,伽马测试-ANN和伽马测试-ANFIS模型估算每日参考蒸散量
机译:基于最小二乘支持向量机的日参考蒸散量估算
机译:使用支持向量机和遗传算法通过聚类分析来挖掘方面。
机译:基于支持向量机和布谷鸟算法的改进模型,用于模拟参考蒸散量
机译:使用杂交伽马试验 - 最小二乘支持向量机,伽马试验安和伽马试验 - 伊朗的干旱地区估算每日参考蒸散量