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Volumn 125, Issue 2, 2012, Pages 943-951
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Melt index prediction by adaptively aggregated RBF neural networks trained with novel ACO algorithm
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Author keywords
ACO; aggregated RBF networks; computer modeling; melt; poly(propylene)
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Indexed keywords
ACO;
ACO ALGORITHMS;
ADAPTIVE METHODS;
ANT COLONY OPTIMIZATION ALGORITHMS;
APPLICATION PROSPECT;
COMPLEX RELATIONSHIPS;
COMPUTER MODELING;
ESTIMATION MODELS;
INDIVIDUAL NETWORK;
MELT;
MELT INDEX;
OPTIMIZATION PROBLEMS;
OVERFITTING;
PREDICTION ACCURACY;
PREDICTION ERRORS;
PREDICTION MODEL;
PRODUCT SPECIFICATIONS;
QUALITY INDICATORS;
RADIAL BASIS FUNCTION NEURAL NETWORKS;
RBF NEURAL NETWORK;
SINGLE NETWORKS;
THREE MODELS;
ALGORITHMS;
FORECASTING;
INDUSTRIAL PLANTS;
MATHEMATICAL MODELS;
NEURAL NETWORKS;
POLYPROPYLENES;
RADIAL BASIS FUNCTION NETWORKS;
AGGREGATES;
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EID: 84859588245
PISSN: 00218995
EISSN: 10974628
Source Type: Journal
DOI: 10.1002/app.35688 Document Type: Article |
Times cited : (27)
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References (36)
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