Chemical Sciences Journal

Mohammad Afroozeh

Publications

• Research Article
  Application of Artificial Neural Network, Fuzzy Inference System and Adaptive Neuro-Fuzzy Inference System to Predict the Removal of Pb(II) Ions from the Aqueous Solution by Using Magnetic Graphene/Nylon 6.
  Author(s): Mohammad Afroozeh, Mahmoud Reza Sohrabi, Mehran Davallo, Seyed Yadollah Mirnezami, Fereshteh Motiee and Morteza KhosraviMohammad Afroozeh, Mahmoud Reza Sohrabi, Mehran Davallo, Seyed Yadollah Mirnezami, Fereshteh Motiee and Morteza Khosravi
  
  In this study, three modeling techniques based on artificial intelligence were used to predict the removal percent of lead(II) ions from the aqueous solution. These models include Artificial Neural Network (ANN), Fuzzy Inference System (FIS) and Adaptive Neuro-Fuzzy Inference System (ANFIS). Magnetic graphene adsorbent supported on nylon 6 was used for removing lead(II) ions. Optimal conditions for the experimental parameters were performed using the Taguchi methodology. The analysis of variance (ANOVA) test at the 95% confidence level was applied to the results of these models which suggested there were no significant differences among these models... Read More»
  DOI: 10.4172/2150-3494.1000185

  Abstract PDF