Author:
Zhou Qi,Cao Longchao,Zhou Hui,Huang Xiang
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Reference38 articles.
1. Adamczuk, P. C., Machado, I. G., & Mazzaferro, Ja E. (2017). Methodology for predicting the angular distortion in multi-pass butt-joint welding. Journal of Materials Processing Technology, 240, 305–313.
2. Benyounis, K., & Olabi, A.-G. (2008). Optimization of different welding processes using statistical and numerical approaches-a reference guide. Advances in Engineering Software, 39(6), 483–496.
3. Cai, M., Lin, Y., Han, B., Liu, C., & Zhang, W. (2017). On a simple and efficient approach to probability distribution function aggregation. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(9), 2444–2453.
4. Chaki, S., Shanmugarajan, B., Ghosal, S., & Padmanabham, G. (2015). Application of integrated soft computing techniques for optimisation of hybrid co 2 laser-mig welding process. Applied Soft Computing, 30, 365–374.
5. Chen, Z.-Y. & Kuo, R. J. (2017). Combining SOM and evolutionary computation algorithms for RBF neural network training. Journal of Intelligent Manufacturing.
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