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International Journal of Production Research Volume 48, 2010 - Issue 18
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Original Articles

A yield forecast model for pilot products using support vector regression and manufacturing experience–the case of large-size polariser

Der-Chiang Li Department of Industrial and Information Management, National Cheng Kung University, 1, University Road, Tainan, Taiwan 70101, ROCCorrespondence[email protected]
,
Chiao-Wen Liu Department of Industrial and Information Management, National Cheng Kung University, 1, University Road, Tainan, Taiwan 70101, ROC
,
Yao-Hwei Fang Department of Industrial and Information Management, National Cheng Kung University, 1, University Road, Tainan, Taiwan 70101, ROC
&
Cheng-Chien Chen Department of Industrial and Information Management, National Cheng Kung University, 1, University Road, Tainan, Taiwan 70101, ROC
Pages 5481-5496 | Received 29 Sep 2008, Accepted 25 May 2009, Published online: 01 Sep 2009

Citations (9)

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Read on this site (3)

Der-Chiang Li, Wen-Ting Huang, Chien-Chih Chen & Che-Jung Chang. (2013) Employing virtual samples to build early high-dimensional manufacturing models. International Journal of Production Research 51:11, pages 3206-3224.
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Der-Chiang Li, Chien-Chih Chen, Wen-Chih Chen & Che-Jung Chang. (2012) Employing dependent virtual samples to obtain more manufacturing information in pilot runs. International Journal of Production Research 50:23, pages 6886-6903.
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Der-Chiang Li, Chiao-Wen Liu & Wen-Chih Chen. (2012) A multi-model approach to determine early manufacturing parameters for small-data-set prediction. International Journal of Production Research 50:23, pages 6679-6690.
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Articles from other publishers (6)

Lean Yu, Shaodong Liang, Rongda Chen & Kin Keung Lai. (2022) Predicting monthly biofuel production using a hybrid ensemble forecasting methodology. International Journal of Forecasting 38:1, pages 3-20.
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Junying Hu, Xiaofei Qian, Hao Cheng, Changchun Tan & Xinbao Liu. (2021) Remaining useful life prediction for aircraft engines based on phase space reconstruction and hybrid VNS-SVR model. Journal of Intelligent & Fuzzy Systems 41:2, pages 3415-3428.
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Der-Chiang Li & I-Hsiang Wen. (2014) A genetic algorithm-based virtual sample generation technique to improve small data set learning. Neurocomputing 143, pages 222-230.
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Der-Chiang Li, Wen-Ting Huang, Chien-Chih Chen & Che-Jung Chang. (2014) Employing box plots to build high-dimensional manufacturing models for new products in TFT-LCD plants. Neurocomputing 142, pages 73-85.
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Chih-Ming Hsu. (2013) Application of SVR, Taguchi loss function, and the artificial bee colony algorithm to resolve multiresponse parameter design problems: a case study on optimizing the design of a TIR lens. Neural Computing and Applications 24:6, pages 1293-1309.
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Der-Chiang Li, Wen-Chih Chen, Chiao-Wen Liu, Che-Jung Chang & Chien-Chih Chen. (2012) Determining manufacturing parameters to suppress system variance using linear and non-linear models. Expert Systems with Applications 39:4, pages 4020-4025.
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