A comparative study of some network approaches to predict the effect of the reinforcement content on the hot strength of Al-base composites

Journal of Materials Processing Technology

Volumn 166, Issue 3, 2005, Pages 392-397

  Jalham, Issam S ^a  

^a UNIVERSITY OF JORDAN   (Jordan)

Author keywords

Artificial neural network (ANN); Metal matrix composite (MMC); Modeling; Neuro fuzzy; Radial base function (RBF); Reinforcement

Indexed keywords

ACTIVATION ENERGY; ALUMINUM; COMPUTER SIMULATION; DEFORMATION; FUZZY SETS; NEURAL NETWORKS; REINFORCEMENT; STRENGTH OF MATERIALS;

MODELING; NEURO-FUZZY; RADIAL-BASE FUNCTION (RBF); REINFORCEMENT CONTENT;

METALLIC MATRIX COMPOSITES;

EID: 23844477281     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmatprotec.2004.08.028     Document Type: Article

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