Prediction of cell voltage and current efficiency in a lab scale chlor-alkali membrane cell based on support vector machines

Chemical Engineering Journal

Volumn 147, Issue 2-3, 2009, Pages 161-172

  Shojai Kaveh, N ^a   Mohammadi, F ^b   Ashrafizadeh, S N ^a  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^b IRAN POLYMER AND PETROCHEMICAL INSTITUTE   (Iran)

Author keywords

Brine; Chlor alkali; Electrolysis; Membrane cell; Support vector machine

Indexed keywords

ALKALINITY; CYTOLOGY; ELECTROCHEMISTRY; ELECTROLYSIS; FLUIDIZED BED COMBUSTION; GEARS; IMAGE RETRIEVAL; MEMBRANES; MULTILAYER NEURAL NETWORKS; POLYMER FILMS; SUPPORT VECTOR MACHINES; VECTORS;

ANOLYTE; BRINE CONCENTRATIONS; CAUSTIC CONCENTRATIONS; CELL PERFORMANCE; CELL VOLTAGES; CHLOR-ALKALI; CURRENT EFFICIENCIES; MACHINE LEARNING METHODS; MEMBRANE CELL; MODEL PREDICTIONS; NICKEL ELECTRODES; OPERATING PARAMETERS; OPERATING TEMPERATURES; PROCESS PARAMETERS; RUN-TIME; STATISTICAL LEARNING THEORIES; SUPPORT VECTOR MACHINE; SUPPORT VECTORS; SVM MODELS;

CELL MEMBRANES;

EID: 60949086321     PISSN: 13858947     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cej.2008.06.030     Document Type: Article

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