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研究生:朱修明
論文名稱:模糊模型規則庫自動建立之演算法
論文名稱(外文):An improved approach to automatically build fuzzy model rules
指導教授:王乃堅楊宗銘楊宗銘引用關係
學位類別:碩士
校院名稱:國立臺灣科技大學
系所名稱:電機工程系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2001
畢業學年度:89
語文別:中文
中文關鍵詞:模糊理論系統識別最陡坡降法
相關次數:
  • 被引用被引用:3
  • 點閱點閱:424
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:1
本論文是以模糊理論為基礎建立一套演算法應用於模糊模型規則庫自動建立方面的問題,利用MATLAB程式語言進行電腦模擬,並以數個範例來進行比較和証明此演算法的正確性。
論文中提出的方法是先將未知系統的輸出資料做模糊分類,使用FCM (Fuzzy C-means) 演算法計算出每一類的中心向量,再利用SC準則來決定出合適的分類群數。此分類群數便用來當作模糊規則庫中的規則數目。此規則數目將未知系統分成數個線性系統,使用FCRM (Fuzzy C-Regression Model) 演算法找出輸入/輸出資料對與這些線性系統的模糊關係,以歸屬值矩陣表示之,並求出初步的模糊規則參數值。最後再以最陡坡降法同時對前件部和後件部參數做最佳化調整,直到找出一組參數值能使得該模糊系統達到設定條件的要求。
本文提出之方法架構精簡且相較於其他方法具有較佳的彈性及效果,可做為將來研究模糊模型規則庫自動建立之基礎。

摘 要I
ABSTRACTII
誌 謝III
圖 索 引IV
表 索 引V
目 錄VI
第1章緒論1
1.1研究動機1
1.2研究目的及方法2
1.3內容大綱3
第2章系統識別的介紹4
2.1模糊模型的系統識別4
2.2以模糊理論方法處理系統識別問題8
第3章模糊理論介紹11
3.1傳統集合12
3.2模糊集合13
3.3模糊邏輯15
3.4模糊推論16
3.5各種模糊模型(Fuzzy Models)的比較18
3.5.1模糊系統架構19
3.5.2Takagi and Sugeno’s Fuzzy Model21
3.5.3Sugeno and Yasukawa’s Fuzzy Model22
第4章研究方法25
4.1決定線性系統數目26
4.1.1FCM演算法27
4.1.2SC準則30
4.2建立初步的模糊系統參數值31
4.2.1FCRM演算法31
4.2.2前件部參數建構方法35
4.2.3後件部參數建構方法40
4.3模糊系統參數的最佳化調整40
4.3.1最陡坡降法42
4.3.2建立目標函數與尋找最佳化係數44
4.4設定停止條件48
第5章實驗結果與比較49
5.1範例一、兩個輸入變數之非線性函數建模49
5.2範例二、兩個輸入變數之Sinc函數建模53
5.3範例三、三個輸入變數之非線性函數建模57
第6章結論62
參 考 文 獻64
作 者 簡 介68

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