دورية أكاديمية

Prediction of hydraulic conductivity based on the soil grain size using supervised committee machine artificial intelligence

التفاصيل البيبلوغرافية
العنوان: Prediction of hydraulic conductivity based on the soil grain size using supervised committee machine artificial intelligence
المؤلفون: Khalili-Maleki, Mohammad, Poursorkhabi, Ramin VafaeiAff1, Aff2, IDs1214502200848x_cor2, Nadiri, Ata AllahAff3, Aff4, Aff5, Aff6, Dabiri, Rouzbeh
المصدر: Earth Science Informatics. 15(4):2571-2583
قاعدة البيانات: Springer Nature Journals
الوصف
تدمد:18650473
18650481
DOI:10.1007/s12145-022-00848-x