Artificial Neural Network Modeling of The Removal of Cr (VI) on by Polymeric Calix[6]arene in aqueous solutions

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dc.contributor.authorTümer, Abdullah Erdal
dc.date.accessioned2025-01-21T14:21:03Z
dc.date.available2025-01-21T14:21:03Z
dc.date.issued2020
dc.description.abstractThe 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.
dc.identifier.dergipark472269
dc.identifier.doi10.29137/umagd.472269
dc.identifier.issn1308-5514
dc.identifier.issue1-13
dc.identifier.startpage20
dc.identifier.urihttps://dergipark.org.tr/tr/download/article-file/947730
dc.identifier.urihttps://dergipark.org.tr/tr/pub/umagd/issue/49089/472269
dc.identifier.urihttps://doi.org/10.29137/umagd.472269
dc.identifier.urihttps://hdl.handle.net/20.500.12587/19305
dc.identifier.volume1
dc.language.isoen
dc.publisherKırıkkale Üniversitesi
dc.relation.ispartofUluslararası Mühendislik Araştırma ve Geliştirme Dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241229
dc.subjectArtificial Neural Network
dc.subjectModeling
dc.subjectSorption
dc.subjectRemoval Efficiency
dc.subjectSorption Capacity
dc.titleArtificial Neural Network Modeling of The Removal of Cr (VI) on by Polymeric Calix[6]arene in aqueous solutions
dc.typeArticle

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