Comparison of artificial neural networks with Gaussian processes to model the yield strength of nickel-base superalloys

ISIJ International

Volumn 39, Issue 10, 1999, Pages 1020-1026

  Tancret, F ^a   Bhadeshia, H K D H ^a   Mackay, D J C ^b  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPOSITION EFFECTS; MATHEMATICAL MODELS; NEURAL NETWORKS; SUPERALLOYS; THERMAL EFFECTS; YIELD STRESS;

GAUSSIAN PROCESS MODELING METHOD;

NICKEL ALLOYS;

EID: 0033339879     PISSN: 09151559     EISSN: None     Source Type: Journal    
DOI: 10.2355/isijinternational.39.1020     Document Type: Article

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