Sensitivity analysis of the artificial neural network outputs in friction stir lap joining of aluminum to brass

Advances in Materials Science and Engineering

Volumn 2013, Issue , 2013, Pages

  Shojaeefard, Mohammad Hasan ^a   Akbari, Mostafa ^a   Tahani, Mojtaba ^a,b   Farhani, Foad ^c  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^b UNIVERSITY OF TEHRAN   (Iran)

^c IRANIAN RESEARCH ORGANIZATION FOR SCIENCE AND TECHNOLOGY IROST   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

ALUMINUM ALLOY SHEET; ARTIFICIAL NEURAL NETWORK MODELS; CHEMICAL COMPOSITIONS; FRICTION STIR LAP WELDING; INPUT PARAMETER; INPUT VARIABLES; PROFILE METHOD; RELATIVE CONTRIBUTION;

FRICTION STIR WELDING; MECHANICAL PROPERTIES; NEURAL NETWORKS; SCANNING ELECTRON MICROSCOPY; X RAY DIFFRACTION ANALYSIS;

SENSITIVITY ANALYSIS;

EID: 84876591555     PISSN: 16878434     EISSN: 16878442     Source Type: Journal    
DOI: 10.1155/2013/574914     Document Type: Article

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