Evolving CBR and data segmentation by SOM for flow time prediction in semiconductor manufacturing factory-Reference-Cited by-同舟云学术

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Evolving CBR and data segmentation by SOM for flow time prediction in semiconductor manufacturing factory

Published:2008-05-31 Issue:4 Volume:20 Page:421-429
ISSN:0956-5515
Container-title:Journal of Intelligent Manufacturing
language:en
Short-container-title:J Intell Manuf

Author:

Chang Pei-Chann,Fan Chin Yuan,Wang Yen-Wen

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Software

Link

http://link.springer.com/content/pdf/10.1007/s10845-008-0116-2.pdf

Reference37 articles.

1. Anklesaria K.P., Drezner Z. (1986) A multivariate approach to estimating the completion time for PERT networks. Journal of the Operational Research Society 37(8): 811–815

2. Backus P., Janakiram M., Mowzoon S., Runger G.C., Bhargava A. (2006) Factory cycle-time prediction with a data-mining approach. IEEE Transactions on Semiconductor Manufacturing 19(2): 252–258

3. Bookbinder J.H., Noor A.I. (1985) Setting job-shop due-dates with service-constrains. Journal of the Operational Research Society 36(11): 1017–1026

4. Cao L. (2003) Support vector machines experts for time series forecasting. Neurocomputing 51: 321–339

5. Carpinteiro O.A.S., Lima I., Leme R.C, de Souza A.C.Z., Moreira E.M., Pinheiro C.A.M. (2007) A hierarchical neural model with time windows in long-term electrical load forecasting. Neural Computing & Applications 16(4): 465–470

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