Hybrid process modeling and optimization strategies integrating neural networks/support vector regression and genetic algorithms: Study of benzene isopropylation on Hbeta catalyst

Chemical Engineering Journal

Volumn 97, Issue 2-3, 2004, Pages 115-129

  Nandi, Somnath ^a   Badhe, Yogesh ^a   Lonari, Jayaram ^a   Sridevi, U ^b   Rao, B S ^a   Tambe, Sanjeev S ^a   Kulkarni, Bhaskar D ^a  

^a NATIONAL CHEMICAL LABORATORY   (India)

^b UNIVERSITY OF NOTRE DAME   (United States)

Author keywords

Artificial neural networks; Benzene isopropylation; Cumene synthesis; Genetic algorithms; Hbeta catalyst; Process modeling; Process optimization; Support vector regression

Indexed keywords

ARTIFICIAL INTELLIGENCE; BENZENE; CATALYSTS; CORRELATION METHODS; GENETIC ALGORITHMS; OPTIMIZATION; RATE CONSTANTS;

BENZENE ISOPROPYLATION; SUPPORT VECTOR REGRESSION (SVR);

NEURAL NETWORKS;

MODELING;

EID: 0442312364     PISSN: 13858947     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1385-8947(03)00150-5     Document Type: Article

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