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Volumn 40, Issue 24, 2001, Pages 5719-5723
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Prediction of the molecular weight for a vinylidene chloride/vinyl chloride resin during shear-related thermal degradation in air by using a back-propagation artificial neural network
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Author keywords
[No Author keywords available]
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Indexed keywords
BACKPROPAGATION;
COPOLYMERS;
CROSSLINKING;
MATHEMATICAL MODELS;
MOLECULAR WEIGHT;
NEURAL NETWORKS;
PYROLYSIS;
REACTION KINETICS;
SHEAR STRESS;
SYNTHESIS (CHEMICAL);
CHAIN-SCISSION REACTIONS;
POLYVINYLIDENE CHLORIDES;
VINYL CHLORIDE;
VINYLIDENE CHLORIDE;
CHLORINE COMPOUND;
DEGRADATION;
MOLECULAR WEIGHT;
NEURAL NETWORK;
PREDICTION;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
CHEMICAL ENGINEERING;
DEGRADATION;
HEAT SENSITIVITY;
MOLECULAR WEIGHT;
SHEAR STRESS;
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EID: 0035965535
PISSN: 08885885
EISSN: None
Source Type: Journal
DOI: 10.1021/ie000200j Document Type: Article |
Times cited : (5)
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References (11)
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