標題: A novel approach for optimizing the optical performance of the broadband tap coupler
作者: Hsu, CM
Su, CT
Liao, D
工業工程與管理學系
Department of Industrial Engineering and Management
公開日期: 20-Feb-2003
摘要: An integrated approach using neural networks, exponential desirability functions and genetic algorithms to optimize parameter design problems with multiple responses is presented. The proposed approach aims to identify the input parameter settings to maximize the overall minimal satisfaction level with respect to all the responses. The proposed approach is illustrated by optimizing the fused process parameters created during fused biconic taper coupler development to improve the performance and reliability of a 1% (1/99) single-window broadband tap coupler. The proposed solution procedure was implemented on a Taiwanese manufacturer of fibreoptic passive components. The implementation results demonstrate the practicability of the method. Comparison analysis revealed that the proposed procedure outperformed the traditional Taguchi method in resolving multi-response parameter design problems.
URI: http://dx.doi.org/10.1080/0020772031000115605
http://hdl.handle.net/11536/28089
ISSN: 0020-7721
DOI: 10.1080/0020772031000115605
期刊: INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
Volume: 34
Issue: 3
起始頁: 215
結束頁: 226
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