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Basics of Artificial Neural Network and its Applications to Material Forming Process I  

Kim, Y.S. (School of Mechanical Engineering, Kyungpook National University)
Kim, J.J. (Graduate School of Mechanical Engineering, Kyungpook National University)
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Transactions of Materials Processing / v.30, no.4, 2021 , pp. 201-210 More about this Journal
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22 M. J. Kwak, J. W. Park, K. T. Park, B. S. Kang., 2020, A Development of Longitudinal and Transverse Springback Prediction Model Using Artificial Neural Network in Multipoint Dieless Forming of Advanced High Strength Steel, Trans. Mater. Process, Vol. 29, No. 2, pp. 76-88.   DOI
23 S. H. Oh, X. Xiao, Y. S. Kim, 2021, Modeling of AA5052 Sheet Incremental Sheet Forming Process Using RSM-BPNN and Multi-optimization Using Genetic Algorithms, Trans. Mater. Process, Vol. 30, No. 3, pp. 125-133.   DOI
24 https://cs230.stanford.edu/files/C1M3.pdf
25 V. C. Do, Y. S. Kim, Effect of Hole Lancing on the Forming Characteristic of Single Point Incremental Forming, 2017, Proc. Eng., Vol. 184, pp. 35~42.   DOI