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Volumn 119, Issue 5, 2011, Pages 3093-3100

Melt index prediction by RBF neural network optimized with an adaptive new ant colony optimization algorithm

Author keywords

adaptive ACO; computer modeling; melt; polypropylene

Indexed keywords

ADAPTIVE ACO; ADAPTIVE VERSIONS; ANT COLONY OPTIMIZATION ALGORITHMS; BEST MODEL; COMPUTER MODELING; MELT; MELT INDEX; OPTIMIZATION APPROACH; POLYMERIZATION PROCESS; PREDICTION ACCURACY; PROCESS VARIABLES; PRODUCT SPECIFICATIONS; PRODUCTION PLANT; PROPYLENE POLYMERIZATION; RBF MODEL; RBF NEURAL NETWORK; RBF(RADIAL BASIS FUNCTION); RESEARCH RESULTS; SOFT SENSOR MODELS; STRUCTURE PARAMETER;

EID: 78649925428     PISSN: 00218995     EISSN: 10974628     Source Type: Journal    
DOI: 10.1002/app.33060     Document Type: Article
Times cited : (31)

References (34)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.