Soft-sensor modeling of polymerizing process based on multi T-S fuzzy neural network optimized with harmony search algorithm

Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument

Volumn 32, Issue 3, 2011, Pages 495-500

  Gao, Shuzhi ^a,b   Gao, Xianwen ^a   Wang, Jiesheng ^a  

^a NORTHEASTERN UNIVERSITY   (China)

^b SHENYANG UNIVERSITY OF CHEMICAL TECHNOLOGY   (China)

Author keywords

Harmony search; Multi T S fuzzy neural network; Polymerizer; Principal component analysis; Soft sensor

Indexed keywords

AUXILIARY VARIABLES; CONVERSION RATES; FUZZY C-MEANS CLUSTERING ALGORITHMS; HARMONY SEARCH; HARMONY SEARCH ALGORITHMS; HYBRID OPTIMIZATION ALGORITHM; LEAST SQUARE METHODS; MULTI T-S FUZZY NEURAL NETWORK; MULTIPLE MODELS; POLYMERIZER; PREDICTIVE ACCURACY; PRODUCTION PROCESS; SIMULATION RESULT; SOFT SENSOR; SOFT-SENSING MODEL; SOFT-SENSOR MODELING; STRUCTURE PARAMETER; T-S FUZZY NEURAL NETWORK;

C (PROGRAMMING LANGUAGE); COMPUTER SIMULATION; FUZZY NEURAL NETWORKS; HYDRAULIC STRUCTURES; LEAST SQUARES APPROXIMATIONS; MEASUREMENTS; MODEL PREDICTIVE CONTROL; OPTIMIZATION; POLYMERS; POLYVINYL CHLORIDES; PRINCIPAL COMPONENT ANALYSIS; REAL TIME CONTROL; SENSORS;

CLUSTERING ALGORITHMS;

EID: 79955911066     PISSN: 02543087     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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