A GA-based neural fuzzy system for modeling a paper mill wastewater treatment process

Industrial and Engineering Chemistry Research

Volumn 50, Issue 23, 2011, Pages 13500-13507

  Huang, Mingzhi ^a,c   Wan, Jinquan ^a   Ma, Yongwen ^a,b   Zhang, Huiping ^a   Wang, Yan ^a,b   Wei, Chaohai ^a   Liu, Hongbin ^c   Yoo, Changkyoo ^c  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b Guangzhou Higher Education Mega Center   (China)

^c Kyung Hee University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM; BP ALGORITHM; CHEMICAL DOSAGE; COAGULATION PROCESS; EFFLUENT CONCENTRATIONS; GLOBAL SEARCH; HYBRID LEARNING ALGORITHM; LEARNING ABILITIES; NEURAL FUZZY SYSTEMS; NON-LINEAR RELATIONSHIPS; OPERATING CONDITION; PAPER MILL; PAPER MILL WASTEWATER; TWO STAGE;

BACKPROPAGATION ALGORITHMS; COAGULATION; EFFLUENTS; FUZZY INFERENCE; FUZZY SYSTEMS; LEARNING ALGORITHMS; MEMBERSHIP FUNCTIONS; OPTIMIZATION; PAPER AND PULP MILLS; PAPERMAKING MACHINERY; PARAMETER ESTIMATION; WASTEWATER; WASTEWATER TREATMENT;

GENETIC ALGORITHMS;

ALGORITHMS; COAGULATION; EFFLUENT TREATMENT; EFFLUENTS; FUZZY LOGIC; OPTIMIZATION; PAPER MAKING EQUIPMENT; PAPER MILLS; PARAMETERS;

EID: 82555186839     PISSN: 08885885     EISSN: 15205045     Source Type: Journal    
DOI: 10.1021/ie201296p     Document Type: Article

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