Optimization of mechanical characteristics of short glass fiber and polytetrafluoroethylene reinforced polycarbonate composites using the neural network approach

Expert Systems with Applications

Volumn 39, Issue 3, 2012, Pages 3783-3792

  Yang, Yung Kuang ^a   Yang, Rong Tai ^a   Tzeng, Chorng Jyh ^a  

^a MINGHSIN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

BPNN; d Optimal mixture design; Flexural strength; GA; Impact resistance; SAA optimization; Ultimate strength

Indexed keywords

BPNN; D-OPTIMAL; EFFECTIVE TOOL; HYBRID METHOD; INJECTION MOLDING PROCESS; MECHANICAL CHARACTERISTICS; MIXTURE DESIGN; MIXTURE RATIO; OPTIMAL MIXTURES; SAA OPTIMIZATION; SHORT GLASS FIBER; SIMULATED ANNEALING ALGORITHMS; ULTIMATE STRENGTH;

BACKPROPAGATION ALGORITHMS; BENDING STRENGTH; BLENDING; GENETIC ALGORITHMS; GLASS FIBERS; IMPACT RESISTANCE; IMPACT STRENGTH; INJECTION MOLDING; MIXTURES; NEURAL NETWORKS; POLYTETRAFLUOROETHYLENES; SIMULATED ANNEALING;

ANALYSIS OF VARIANCE (ANOVA);

EID: 80255126151     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.09.079     Document Type: Article

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