Rough set-based hybrid fuzzy-neural controller design for industrial wastewater treatment

Water Research

Volumn 37, Issue 1, 2003, Pages 95-107

  Chen, W C ^a   Chang, Ni Bin ^b   Chen, Jeng Chung ^c  

^a ICP DAS Co Ltd   (Taiwan)

^b Texas AandM University Kingsville   (United States)

^c FOOYIN UNIVERSITY   (Taiwan)

Author keywords

Artificial intelligence; Fuzzy logic control; Genetic algorithm; Knowledge discovery; Machine learning; Neural network; Optimal control; Rough set; Soft computing; Wastewater treatment

Indexed keywords

FUZZY CONTROL; GENETIC ALGORITHMS; NEURAL NETWORKS; ROUGH SET THEORY; WASTEWATER TREATMENT;

MULTI-OBJECTIVE CONTROL STRATEGIES;

HYDROLOGY;

DESIGN; FUZZY MATHEMATICS; GENETIC ALGORITHM; WASTEWATER TREATMENT PLANT;

ALGORITHM; ANALYTIC METHOD; ARTICLE; COST; HYBRID; METHODOLOGY; PERFORMANCE; PRIORITY JOURNAL; PROCESS CONTROL; PROCESS MODEL; RESPONSE TIME; THEORY; WASTE WATER MANAGEMENT;

EID: 0037209813     PISSN: 00431354     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0043-1354(02)00255-5     Document Type: Article

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