Developing a hybrid neuro-fuzzy method to predict carbon dioxide (co2) permeability in mixed matrix membranes containing sapo-34 zeolite

HIGHLIGHTS

• who: Ali Hosin Alibak et al. from the Chemical Engineering Department, Faculty of Engineering, Soran University, Soran, Iraq University, Nur, Iran have published the research work: Developing a Hybrid Neuro-Fuzzy Method to Predict Carbon Dioxide (CO2) Permeability in Mixed Matrix Membranes Containing SAPO-34 Zeolite, in the Journal: Membranes 2022, 12, x FOR PEER REVIEW of 21/Oct/2022
• what: This study compares the predictive performance of different classes of adaptive neuro-fuzzy inference systems (ANFIS) in predicting the permeability of carbon dioxide (CO2 ) in mixed matrix membrane (MMM) the SAPO-34
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