...
机译:时间序列模型,支持向量机和GMDH在预测伊朗北部长期蒸腾速率中的比较研究
Dept. of Water Engineering Univ. of Guilan Khalij-e-Fars Blvd. Rasht 41996-13776 Iran;
Faculty of Natural Sciences and Engineering Ilia State Univ. Kakutsa Cholokashvili Ave. 3/5 Tbilisi 0162 Georgia;
Faculty of Agricultural Engineering and Technology College of Agriculture and Natural Resources Dept. of Irrigation and Reclamation Engineering Univ. of Tehran Karaj 77871-31587 Iran;
Dept. of Water Engineering Univ. of Tabriz 29 Bahman St. Tabriz 51666-16471 Iran;
Dept. of Computer Engineering Sharif Univ. of Technology Azadi St. Tehran 11155-11365 Iran;
Evapotranspiration; Seasonal autoregressive integrated moving average (SARIMA); Support vector machine; Machine learning;
机译:讨论“时间序列模型,支持向量机和GMDH”在预测伊朗北部的长期蒸散率,ozgur kisi,Pouya Aghelpour,Seyed Mostafa Biazar和Mohammadreza Asprarizad Masouleh的长期蒸散率
机译:封闭到时间序列模型,支持向量机和GMDH的比较研究预测伊朗北部的长期蒸散率,oShin Ashrafzadeh,Ozgur Kisi,Pouya Aghelpour,Seyed Mostafa Biazar和Mohammadreza Askarazad Masouleh
机译:混合GMDH和最小二乘支持向量机的时间序列预测
机译:支持向量机用于土地利用变化检测的Landsat时间序列:伊朗Javanrud区案例研究
机译:时间序列预测统计和机器学习模型的比较分析
机译:伊朗克曼沙赫省5岁以下儿童死亡率的建模和预测:时间序列分析
机译:HybridGMDH和最小二乘支持矢量机器在时间序列预测