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Volumn 47, Issue 1, 2009, Pages 46-59
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Analysis of workability behavior of Al-SiC P/M composites using backpropagation neural network model and statistical technique
a
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Author keywords
Analysis of variance; Artificial neural network; Metal matrix composites; Powder metallurgy
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Indexed keywords
APPLIED LOADS;
ARTIFICIAL NEURAL NETWORK;
ARTIFICIAL NEURAL NETWORK MODELS;
AXIAL STRAIN;
AXIAL STRESS;
BACK PROPAGATION NEURAL NETWORKS;
COLD UPSETTING;
EXPERIMENTAL DATA;
FEEDFORWARD BACKPROPAGATION;
HOOP STRAIN;
HOOP STRESS;
INPUT PARAMETER;
INPUT/OUTPUT DATUM;
METAL MATRIX COMPOSITES;
OUTPUT PARAMETERS;
PLASTIC DEFORMATION BEHAVIOR;
PROCESS PARAMETERS;
SIC POWDER;
STATISTICAL ANALYSIS;
STATISTICAL TECHNIQUES;
TECHNOLOGICAL CONCEPT;
TRI-AXIAL STRESS STATE;
ALUMINUM;
ALUMINUM POWDER METALLURGY;
BACKPROPAGATION;
INTERMETALLICS;
MATRIX ALGEBRA;
METAL ANALYSIS;
METALLURGY;
NEURAL NETWORKS;
POWDER METALS;
REGRESSION ANALYSIS;
REINFORCEMENT;
SILICON CARBIDE;
STRAIN HARDENING;
METALLIC MATRIX COMPOSITES;
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EID: 70350567112
PISSN: 09270256
EISSN: None
Source Type: Journal
DOI: 10.1016/j.commatsci.2009.06.013 Document Type: Article |
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Times cited : (33)
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References (38)
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