A stacked neural network approach for yield prediction of propylene polymerization

Journal of Applied Polymer Science

Volumn 116, Issue 3, 2010, Pages 1237-1246

  Monemian, Seyed Ali ^a   Shahsavan, Hamed ^b   Bolouri, Oberon ^a   Taranejoo, Shahrouz ^a   Goodarzi, Vahabodin ^a   Torabi Angaji, Mahmood ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

^b SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Modeling; Polyolefins; Stacked neural network; Ziegler Natta polymerization

Indexed keywords

CATALYST PRECURSORS; CATALYST SYSTEM; COCATALYST; ELECTRON DONORS; EXPERIMENTAL DATA; INDUSTRIAL PROCESSS; INTERNAL ELECTRON DONOR; OPERATIONAL PARAMETERS; PHTHALATES; PROPYLENE POLYMERIZATION; REACTION YIELDS; SLURRY POLYMERIZATION; STACKED NEURAL NETWORK; STACKED NEURAL NETWORKS; YIELD PREDICTION; ZIEGLER NATTA POLYMERIZATION;

CATALYSIS; CATALYSTS; ESTERS; NONLINEAR SYSTEMS; POLYMERIZATION; POLYOLEFINS; PROPYLENE;

NEURAL NETWORKS;

CATALYST; NEURAL NETWORK; POLYMERIZATION; POLYOLEFIN; PRECURSOR; PREDICTIVE MODEL;

EID: 76949094427     PISSN: 00218995     EISSN: 10974628     Source Type: Journal    
DOI: 10.1002/app.31251     Document Type: Article

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