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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 洪一薰 | zh_TW |
| dc.contributor.advisor | I-Hsuan Hong | en |
| dc.contributor.author | 李岳鴻 | zh_TW |
| dc.contributor.author | Yue-Hong Li | en |
| dc.date.accessioned | 2023-08-09T16:45:47Z | - |
| dc.date.available | 2023-11-09 | - |
| dc.date.copyright | 2023-08-09 | - |
| dc.date.issued | 2023 | - |
| dc.date.submitted | 2023-07-25 | - |
| dc.identifier.citation | Abdel-Gawad, A., & Ratner, S. (2007). Adaptive optimization of hyperparameters in L2-regularised logistic regression.
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/88370 | - |
| dc.description.abstract | 在現代化的製程中，製程參數的設定通常會影響多個製程目標，因此如何設定合適的製程參數以達到決策者期望的製程目標成為一個具有挑戰性的問題。本研究提出一個數學規劃模型將多目標最佳化方法與決策樹模型相結合。我們以決策樹作為後設模型用於預測目標與製程參數之間的關係，並透過數學最佳化模型整合決策樹的預測結果和其他的製程要求，以提供適當的製程參數設定建議。透過案例研究，我們不僅證明了我們的模型具備有效性，並將其與基於多目標決策樹建構的方法進行比較。根據顯示的結果，我們提出的採用多個單一目標決策樹的方法所提供的解決方案的品質優於傳統的使用單一多目標決策樹的方法。此外，建議的參數設定為決策者提供了三種決策偏好選項，以協助他們根據製程目標偏好選擇最合適的參數設定。 | zh_TW |
| dc.description.abstract | This paper introduces an innovative approach to tackle the challenge of determining process parameter settings in order to achieve multiple process goals. We propose a mathematical programming approach that integrates a multi-objective formulation with decision tree models. The decision tree models predict different targets, and the mathematical model combines the outputs from the trees with other process requirements. The case study demonstrates the effectiveness of our model and compares its performance to a method based on multi-objective decision tree. The results reveal that our method, employing multiple single-objective decision trees, returns the superior solution than the conventional approach utilizing a single multi-objective decision tree. The suggested outcomes provide decision-makers with three preferences to assist them in selecting the most suitable option based on their target preferences. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2023-08-09T16:45:47Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2023-08-09T16:45:47Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 中文摘要 I
ABSTRACT II 目錄 III 圖目錄 V 表目錄 VI 第一章 緒論 1 第二章 研究方法 7 2.1 決策樹 7 2.1.1 決策樹建構 7 2.1.2 超參數最佳化 10 2.2 數學最佳化模型 11 2.2.1 模型符號定義 12 2.2.2 模型限制式 13 第三章 數值分析 15 3.1 資料準備 15 3.2 單一目標決策樹預測模型 21 3.3 數學模型求解結果 23 3.4 多目標決策樹預測模型 24 3.5 求解能力表現 27 第四章 結論與建議 30 附錄 31 參考文獻列表 39 | - |
| dc.language.iso | zh_TW | - |
| dc.subject | 參數設置 | zh_TW |
| dc.subject | 決策樹 | zh_TW |
| dc.subject | 多目標最佳化 | zh_TW |
| dc.subject | multi-objective optimization | en |
| dc.subject | decision tree | en |
| dc.subject | parameter tuning | en |
| dc.title | 整合決策樹與多目標最佳化方法的參數決策過程 | zh_TW |
| dc.title | Decision Trees and Multi-Objective Optimization for Parameters Decision-Making Processes | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 111-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 藍俊宏;陳家正 | zh_TW |
| dc.contributor.oralexamcommittee | Jun-Hong Lan;Jia-Zheng Chen | en |
| dc.subject.keyword | 決策樹,參數設置,多目標最佳化, | zh_TW |
| dc.subject.keyword | decision tree,parameter tuning,multi-objective optimization, | en |
| dc.relation.page | 43 | - |
| dc.identifier.doi | 10.6342/NTU202302042 | - |
| dc.rights.note | 同意授權(限校園內公開) | - |
| dc.date.accepted | 2023-07-26 | - |
| dc.contributor.author-college | 工學院 | - |
| dc.contributor.author-dept | 工業工程學研究所 | - |
| dc.date.embargo-lift | 2028-07-25 | - |
| 顯示於系所單位： | 工業工程學研究所 | |
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