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

Authors : Abdullah Erdal TÜMER

Pages : 13-20

Doi:10.29137/umagd.472269

View : 13 | Download : 10

Publication Date : 2020-01-31

Article Type : Research Paper

Abstract :The artificial neural network-based model was developed to predict the sorption capacity and removal efficiency of calixarene for Crinsert ignore into journalissuearticles values(VI); in aqueous solutions. The input variables were initial concentration of Crinsert ignore into journalissuearticles values(VI);, adsorbent dosage, contact time, and pH, while the sorption capacity and the removal efficiency were considered as output. They have been used for the training and simulation of the network in the current work. The training results were tested using the input data insert ignore into journalissuearticles values(simulated data); that were not shown to the network. According to the indicator, the optimum and most reliable model was found based on the test results.
Keywords : Artificial Neural Network, Modeling, Sorption, Removal Efficiency, Sorption Capacity