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頁籤選單縮合
題 名 | Parameter Optimization for Quality Response with Linguistic Ordered Category by Employing Artificial Neural Networks: A Case Study |
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作 者 | Hsieh,Kun-lin; Tong,Lee-ing; | 書刊名 | 淡江理工學刊 |
卷 期 | 2:4 2000.01[民89.01] |
頁 次 | 頁213-219 |
分類號 | 494.56 |
關鍵詞 | 參數最佳化; 品質; 類神經網路; Linguistic ordered category; Artificial neural networks; Parameter optimization; |
語 文 | 英文(English) |
英文摘要 | Most studies of parameter optimization focus on the quantitative quality response. The parameter optimization of the qualitative (or linguistic) quality response is seldom mentioned. For the proposed approaches, only the optimum categorical level settings of factors can be determined even though the control factors have the continuous values. Artifical neural networks (ANN) have been successfully employed to model a complexity system, specially by modeling the linear or non-linear relationship behind the system’s architecture. Employing ANN to model the interrelations among system’s factors and system’s response from experimental data is easier than most statistical approaches. In light of such considerations, the objective of this study is to develop an approach based on ANN to deal with the parameter optimization for quality response involving the linguistic ordered category. A case study involving a taping process from a lead frame (L/F) manufacturer in Taiwan’s science-based park demonstrates the effectiveness of the proposed approach. |
本系統中英文摘要資訊取自各篇刊載內容。