研究生: |
李文通 Wun-tong Li |
---|---|
論文名稱: |
深開挖壁體變形預測-應用演化式支持向量機推論模式(ESIM) Prediction of Diaphragm Wall Deflection in Deep Excavations Using Evolutionary Support Vector Machine Inference Model (ESIM) |
指導教授: |
鄭明淵
Min-Yuan Cheng |
口試委員: |
曾惠斌
none 曾仁杰 none 謝佑明 none |
學位類別: |
碩士 Master |
系所名稱: |
工程學院 - 營建工程系 Department of Civil and Construction Engineering |
論文出版年: | 2008 |
畢業學年度: | 96 |
語文別: | 中文 |
論文頁數: | 92 |
中文關鍵詞: | 演化式支持向量機 、快速混雜基因演算法 、變形符合度 |
外文關鍵詞: | Evolutionary Support Vector Machine, Fast Messy Genetic Algorithms, Coincidence of wall deformation |
相關次數: | 點閱:257 下載:3 |
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本研究針對台北盆地深開挖壁體變形的預測,建立「演化式支持向量機推論模式」,以提供營造業及專業基礎工程包商於深基礎開挖作業中,依據輸入各階段壁體變位監測資料,利用系統訓練學習結果,來預測下階段之壁體變形量,並查核最大變位量是否在控制值之內,以做為工地安全及危機處理之參考。
本研究採用人工智慧技術-Evolutionary Support Vector Machine Inference Model(ESIM)為模式核心,結合人工智慧支持向量機與快速混雜基因演算法二種技術之優點,建立演化式支持向量機壁體變位預測模式來預測壁體變形,本模式係藉由過去相關案例壁體變位監測資料之搜集與彙整,建立壁體變位監測案例資料庫,然後應用演化式支持向量機推論之推理機制及學習機制,從案例資料中歸納出壁體變形模式,建立壁體變形推論模式。本模式使施工廠商能利用歷史工程案例之知識與經驗,較準確地預測新專案基礎開挖的壁體變形。
This study established an “Evolutionary Support Vector Machine Inference Model” to predict wall deformation in deep excavation in Taipei Basin. The system allows the construction and foundation construction contractors to use wall deflection monitoring data of different stages during deep excavation process, in order to predict the wall deformation of the next stage and examine whether the max deflection is within the controlled range. The results are used as guidelines on site safety and risk management.
This study used artificial intelligence - Evolutionary Model Inference Model (ESIM) as the core of the model, and combined with the strengths of fast messy Genetic Algorithm and Support Vector Machine to develop an “Evolutionary Support Vector Machine Inference System” to predict wall deformation. This model establishes a wall deformation monitoring database based on monitoring data collected and compiled from prior projects. This model allows contractors to utilize the knowledge and experience from past projects to predict wall deformation of new projects.
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