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Volumn 55, Issue 4, 2003, Pages 226-230
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Using a neural networks in order to predict the load-bearing behaviour of clinched joints subjected to quasi-static tensile shear loads
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NONE
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Author keywords
[No Author keywords available]
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Indexed keywords
BEARING CAPACITY;
DYNAMIC LOADS;
NEURAL NETWORKS;
NONDESTRUCTIVE EXAMINATION;
NUMERICAL METHODS;
QUALITY ASSURANCE;
TENSILE TESTING;
TESTING;
CLINCHED JOINTS;
LOAD BEARING BEHAVIOUR;
QUASI STATIC TENSILE SHEAR LOADS;
ARTIFICIAL NEURAL NETWORK MODELING;
CLINCHING PROCESS;
ESTIMATION ERRORS;
NETWORK MODELING;
NON DESTRUCTIVE;
QUALITY ASSESSMENT;
TENSILE SHEAR FORCES;
TENSILE SHEAR LOAD;
JOINTS (STRUCTURAL COMPONENTS);
JOINING;
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EID: 84904125328
PISSN: 00367184
EISSN: None
Source Type: Trade Journal
DOI: None Document Type: Article |
Times cited : (3)
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References (7)
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