Improving the generalization ability of an artificial neural network in predicting in-flight particle characteristics of an atmospheric plasma spray process

Journal of Thermal Spray Technology

Volumn 21, Issue 5, 2012, Pages 935-949

  Choudhury, T A ^a   Hosseinzadeh, N ^a   Berndt, C C ^a  

^a SWINBURNE UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

artificial neural network; atmospheric plasma spray; Bayesian regularization; cross validation; early stopping; in flight particle characteristics; Kernel regression

Indexed keywords

ATMOSPHERIC PLASMA SPRAY; BAYESIAN REGULARIZATION; CROSS VALIDATION; EARLY STOPPING; IN-FLIGHT PARTICLE CHARACTERISTICS; KERNEL REGRESSION;

NEURAL NETWORKS; PLASMA JETS; PLASMA SPRAYING;

COMPUTER SIMULATION;

EID: 84865256576     PISSN: 10599630     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11666-012-9775-9     Document Type: Review

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