Neural network approach to the prediction of submerged arc weld metal chemistry

ISIJ International

Volumn 39, Issue 10, 1999, Pages 1096-1105

  Thomson, R C ^a   Perez Perez, F J ^a   Warters, A D ^b   Thewlis, G ^c  

^a LOUGHBOROUGH UNIVERSITY   (United Kingdom)

^b Shell CAPSA   (Argentina)

^c SWINDEN TECHNOLOGY CENTRE   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

COMPOSITION EFFECTS; MATHEMATICAL MODELS; MONTE CARLO METHODS; NEURAL NETWORKS; REGRESSION ANALYSIS; SUBMERGED ARC WELDING; TOUGHNESS; WELDING ELECTRODES;

BAYESIAN STATISTICS; WELD METAL CHEMISTRY;

WELDED STEEL STRUCTURES;

EID: 0033309519     PISSN: 09151559     EISSN: None     Source Type: Journal    
DOI: 10.2355/isijinternational.39.1096     Document Type: Article

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