模糊模型規(guī)則庫(kù)自動(dòng)建立之演算法 an improved

1、模糊模型規(guī)則庫(kù)自動(dòng)建立之演算法 An improved approach to automatically build fuzzy model rules,王乃堅(jiān) (Nai-Jian Wang)臺(tái)灣科技大學(xué)電機(jī)系中華民國(guó)九十年十月二十日地點(diǎn)：政大經(jīng)濟(jì)系,2,Outline,MotivationsThe concept of system identificationThe improved algorithmSimulat

2、ions and DiscussionsConclusions and Future Works,3,Motivation,Only I/O dataModel constructionI/O relationModification,4,The concept of system identification,5,Takagi and Sugeno’s model,,6,Sugeno and Yasukawa’s model,

3、,7,Fuzzy modeling,,8,To decide the number of rules,,9,Fuzzy C-means clustering,,,,,,,,10,To determine the number of rules,,,11,Coarse fuzzy modeling,Fuzzy C-Regression Model (FCRM)Premise parameters generationConsequ

4、ent parameters generation,12,Fuzzy C-Regression Model (1),,,,,,,13,Fuzzy C-Regression Model (2),14,Premise parameters generation (1),,,,,,,15,Premise parameters generation (2),,,,,,16,Premise parameters generation (3),,,

5、17,Premise parameters generation (4),18,Consequent parameters generation,,19,Fine tuning,,20,The steepest decent method,,,,21,,The gradient of objective function (1),,,,22,,,The gradient of objective function (2),,,,,,,2

6、3,,,,The gradient of objective function (3),,,,,,24,Stop condition,,,,,25,Example 1 (1),,,,,,,,,,,,,26,Example 1 (2),The optimal parameters,27,Example 1 (3),,28,Example 2 (1),,,29,Example 2 (2),30,Example 3 (1),,31,Examp