Prediction of weld quality in pulsed current GMAW process using artificial neural network

Science and Technology of Welding and Joining

Volumn 9, Issue 3, 2004, Pages 253-259

  De, A ^a   Jantre, J ^a   Ghosh, P K ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

Author keywords

Gas metal arc welding; Neural network; Pulsed current; Weld quality

Indexed keywords

ALGORITHMS; ALUMINUM ALLOYS; COMPUTATIONAL COMPLEXITY; ERROR ANALYSIS; FEEDFORWARD NEURAL NETWORKS; FRACTURE TOUGHNESS; MATHEMATICAL MODELS; MICROSTRUCTURE; MULTILAYER NEURAL NETWORKS; OPTIMIZATION; QUALITY CONTROL; REGRESSION ANALYSIS; TENSILE STRENGTH; WELDS;

MEAN SQUARE ERRORS (MSE); NEURAL NETWORK MODELS; PULSED CURRENTS; WELD QUALITY;

GAS METAL ARC WELDING;

EID: 4043060857     PISSN: 13621718     EISSN: None     Source Type: Journal    
DOI: 10.1179/136217104225012328     Document Type: Article

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