Artificial Neural Network Modeling of The Removal of Cr (VI) on by Polymeric Calix[6]arene in aqueous solutions
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Tarih
2020
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Kırıkkale Üniversitesi
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
The artificial neural network-based model wasdeveloped to predict the sorption capacity and removal efficiency of calixarenefor Cr(VI) in aqueous solutions. The input variables were initial concentrationof Cr(VI), adsorbent dosage, contact time, and pH, while the sorption capacityand the removal efficiency were considered as output. They have been used forthe training and simulation of the network in the current work. The trainingresults were tested using the input data (simulated data) that were not shownto the network. According to the indicator, the optimum and most reliable modelwas found based on the test results.
Açıklama
Anahtar Kelimeler
Artificial Neural Network, Modeling, Sorption, Removal Efficiency, Sorption Capacity
Kaynak
Uluslararası Mühendislik Araştırma ve Geliştirme Dergisi
WoS Q Değeri
Scopus Q Değeri
Cilt
1
Sayı
1-13
