Optimization of mechanical properties prediction models of welded joints combined neural network with genetic algorithm

Hanjie Xuebao/Transactions of the China Welding Institution

Volumn 28, Issue 12, 2007, Pages 69-72

  Dong, Zhibo ^a   Wei, Yanhong ^b   Zhan, Xiaohong ^a   Wei, Yong Qiang ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

Author keywords

Back propagation; Genetic algorithm; Mechanical properties prediction model; Neural network

Indexed keywords

BACKPROPAGATION ALGORITHMS; GENETIC ALGORITHMS; MECHANICAL PROPERTIES; NEURAL NETWORKS;

MECHANICAL PROPERTIES PREDICTION MODEL; WELDED JOINTS;

WELDS;

EID: 38049181645     PISSN: 0253360X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (6)

1. Huang Shisheng. Welding quality control by neural network[C]//Proceedings of the International Conference of IIW. Beijing, 1994: 349-353.
2. Lalam S H, Bhadeshia H K D H, Mackay D J C. Estimation of mechanical properties of ferritic steel welds, Part 1: yield and tensile slrength[J]. Science and Technology of Welding and Joining, 2000, 5(1): 135-147.
3. Lalam S H, Bhadeshia H K D H, Mackay D J C. Estimation of mechanical properties of ferritic Steel welds, Part 2: elongation and charpy toughness[J]. Science and Technology of Welding and Joining, 2000, 5(2): 149-161.
4. Kim S, Son J S, Park C E, et al. A study on prediction of bead height in robotic arc welding using a neural network[J]. Journal of Materials Processing Technology, 2002, 130(2): 229-234.