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case-based reasoning. J. Comput. Inf. Sci. Eng. 3(4), 353–362 (2003)
7. Zhang, W., Tor, S., Britton, G.: Indexing and retrieval in case-based process planning for
multi-stage non-axisymmetric deep drawing. Int. J. Adv. Manuf. Technol. 28, 12–22 (2006)
8. Tsai, Y.L., You, C.F., Lin, J.Y., Liu, K.Y.: Knowledge-based engineering for process planning
and die design for automotive panels. Comput.-Aided Des. Appl. 7(1), 75–87 (2010)
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aluminium. In: Proceedings of the Hydroforming of Tubes, Extrusions and Sheet Metals, vol.
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Beijing (2016)
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In: 2011 IEEE International Conference on Computer Science and Automation Engineering,
pp. 770–775. IEEE, Shanghai (2011)
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INTECH Open Access Publisher (2013)
14. Shu-Hsien, L.: Expert system methodologies and applications—a decade review from 1995 to
2004. Expert Syst. Appl. 28(1), 93–103 (2005)
15. Hou, J.S.: Applying AHP-based CBR to estimate pavement maintenance cost. Tsinghua Sci
Technol 13, 114–120 (2008)
16. Kohonen, T.: The self-organizing map. Proc IEEE 78(9), 1464–1480 (1990). IEEE
17. Kolodner, J.L.: Improving human decision making through case-based decision aiding. Ai
Mag. 12(2), 52 (1991)
18. Kohonen, T.: Essentials of the self-organizing map. Neural Netw. 37, 52–65 (2013)
19. Guo, Y., Hu, J., Peng, Y.: Research on CBR system based on data mining. Appl. Soft Comput.
11(8), 5006–5014 (2011)
20. Vatanen, T., Osmala, M., Raiko, T., et al.: Self-organization and missing values in SOM and
GTM. Neurocomputing 147(1), 60–70 (2015)
131
3. Neugebauer, R., Werner, M., Pröhl, M., Brunnett, G., Kühnert, T.: New feature extraction and
processing methods for the advanced knowledge based process planning of forming operations.
Procedia CIRP 28, 16–21 (2015)
4. Wang, D., Yan, G., Lei, Y., Zhang, J.: A Retrieval Algorithm of Sheet Metal Parts Based on
Relationships of Features. Chin. J. Aeronaut. 25(3), 453–472 (2012)
5. Guo, Y., Hu, J., Peng, Y.: Research of new strategies for improving CBR system. Artif. Intell.
Rev. 42, 1–20 (2014)
6. Tor, S.B., Britton, G., Zhang, W.: Indexing and retrieval in metal stamping die design using
case-based reasoning. J. Comput. Inf. Sci. Eng. 3(4), 353–362 (2003)
7. Zhang, W., Tor, S., Britton, G.: Indexing and retrieval in case-based process planning for
multi-stage non-axisymmetric deep drawing. Int. J. Adv. Manuf. Technol. 28, 12–22 (2006)
8. Tsai, Y.L., You, C.F., Lin, J.Y., Liu, K.Y.: Knowledge-based engineering for process planning
and die design for automotive panels. Comput.-Aided Des. Appl. 7(1), 75–87 (2010)
9. Koc, M. (eds.): Hydroforming for advanced manufacturing. Woodhead Publishing (2008)
10. Hoffmann A., Birkert A.: Design guidelines for hydroformed structural components of
aluminium. In: Proceedings of the Hydroforming of Tubes, Extrusions and Sheet Metals, vol.
2, pp. 323–338. MAT-INFO Press, Fellbach (2001)
11. Yuan, S.J.: Modern Hydroforming Technology, 2nd edn. National Defense Industry Press,
Beijing (2016)
12. Jia. M.H., Tang, C., Wang, W.G.: Spatial shape prediction of multi-bends metal tube bending.
In: 2011 IEEE International Conference on Computer Science and Automation Engineering,
pp. 770–775. IEEE, Shanghai (2011)
13. You, C.F., Jeng, C.R., Liu, K.Y.: Design for automotive panels supported by an expert system.
INTECH Open Access Publisher (2013)
14. Shu-Hsien, L.: Expert system methodologies and applications—a decade review from 1995 to
2004. Expert Syst. Appl. 28(1), 93–103 (2005)
15. Hou, J.S.: Applying AHP-based CBR to estimate pavement maintenance cost. Tsinghua Sci
Technol 13, 114–120 (2008)
16. Kohonen, T.: The self-organizing map. Proc IEEE 78(9), 1464–1480 (1990). IEEE
17. Kolodner, J.L.: Improving human decision making through case-based decision aiding. Ai
Mag. 12(2), 52 (1991)
18. Kohonen, T.: Essentials of the self-organizing map. Neural Netw. 37, 52–65 (2013)
19. Guo, Y., Hu, J., Peng, Y.: Research on CBR system based on data mining. Appl. Soft Comput.
11(8), 5006–5014 (2011)
20. Vatanen, T., Osmala, M., Raiko, T., et al.: Self-organization and missing values in SOM and
GTM. Neurocomputing 147(1), 60–70 (2015)