Yazma Eser Arama Paneli

110,244 kayıt · 9 kaynak ▤ İstatistik ★ Favorilerim
Temizle
← Geri dön

Prediction of Sediment Transport in Sewer Using a Combination of Adaptive-Neuro Fuzzy Inference Systems and Genetic Algorithm

Müellif fariborz yosefvand · saeid shabanlou
Materyal türü Basma eser
Dil Farsça
Tarih 2019
Yüzyıl 21. yüzyıl
Kurum Internet Archive
Kaynak Internet Archive
Not In this study, the transportation of sediment in sewer flumes is predicted using a hybrid model. On the other hand, the hybrid model (ANFIS-GA) using Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and Genetic Algorithm (GA) for prediction of the Froude number of three-phase (air, water and sediment)
Kaynakta aç ↗

fariborz yosefvand · saeid shabanlou, Prediction of Sediment Transport in Sewer Using a Combination of Adaptive-Neuro Fuzzy Inference Systems and Genetic Algorithm, 2019, Internet Archive, https://archive.org/details/httpscivil-ferdowsi.um.ac.irarticle_32595.htmllangen.