Prediction of MEUF process performance using artificial neural networks and ANFIS approaches

Journal of the Taiwan Institute of Chemical Engineers

Volumn 43, Issue 4, 2012, Pages 558-565

  Rahmanian, Bashir ^a   Pakizeh, Majid ^a   Mansoori, Seyed Ali Akbar ^a   Esfandyari, Morteza ^a   Jafari, Dariush ^a   Maddah, Heidar ^b   Maskooki, Abdolmajid ^c  

^a FERDOWSI UNIVERSITY OF MASHHAD   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

^c RESEARCH INSTITUTE OF FOOD SCIENCE AND TECHNOLOGY RIFST   (Iran)

Author keywords

ANN, ANFIS; MEUF; RSM; Simulation

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ANFIS MODEL; ANN, ANFIS; FEED-FORWARD ARTIFICIAL NEURAL NETWORKS; GOOD CORRELATIONS; LEAD IONS; MEMBRANE SEPARATION PROCESS; MEUF; MICELLAR ENHANCED ULTRAFILTRATION; NON-LINEARITY; PROCESS PERFORMANCE; RESPONSE SURFACE METHODOLOGY; RSM; SIMULATION; SIMULATION METHODS; TARGET VALUES;

MATHEMATICAL MODELS; SEPARATION; ULTRAFILTRATION;

NEURAL NETWORKS;

EID: 84862579180     PISSN: 18761070     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jtice.2012.01.002     Document Type: Article

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