Author:
Sibalija Tatjana V.,Majstorovic Vidosav D.
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Reference33 articles.
1. Al-Refaie, A., Al-Tahat, M. D. (2009). Solving the multi-response problem in Taguchi method by benevolent formulation in DEA. Journal of Intelligent Manufacturing. doi: 10.1007/s10845-009-0312-8 .
2. Chang, H.-H., Chen, Y.-K. (2009). Neuro-genetic approach to optimize parameter design of dynamic multiresponse experiments. Applied Soft Computing, doi: 10.1016/j.asoc.2009.12.002 .
3. Chen W.-C., Fu G.-L., Tai P.-H., Deng W.-J. (2009) Process parameter optimization for MIMO plastic injection molding via soft computing. Expert Systems with Application 36(2): 1114–1122
4. Fung C. P., Kang P. C. (2005) Multi-response optimization in friction properties of PBT composites using Taguchi method and principle component analysis. Journal of Materials Processing Technology 170: 602–610
5. Holden T., Serearuno M. (2005) A hybrid artificial intelligence approach for improving yield in precious stone manufacturing. Journal of Intelligent Manufacturing 16: 21–38
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