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dc.contributor.author張展旗en_US
dc.contributor.authorZhan-Chi Changen_US
dc.contributor.author林昇甫en_US
dc.contributor.authorSheng-Fuu Linen_US
dc.date.accessioned2014-12-12T02:11:46Z-
dc.date.available2014-12-12T02:11:46Z-
dc.date.issued1993en_US
dc.identifier.urihttp://140.113.39.130/cdrfb3/record/nctu/#NT820327035en_US
dc.identifier.urihttp://hdl.handle.net/11536/57751-
dc.description.abstract這篇論文主要研究如何運用基因遺傳演算法 (genetic algorithm),去求 得一模糊模型 (fuzzy model) 的隸屬函數 (membership function),再 經由一產生模糊法則 (fuzzy rule) 的方法,模糊模型便可以很容易地被 建立,一般來講,直接利用基因遺傳演算法去求隸屬函數並不是很有效率 。因此,我們提出邊界限制 (boundary constraint) 的觀念,遵循此一 概念,模糊模型的隸屬函數可以有效地被求得。模擬結果驗証了我們所提 出的方法。 This paper mainly investigates how to find a fuzzy model by employing genetic algorithms. With a method for generating fuzzy rules, a fuzzy model could be easily constructed. Generally speaking, it is not very efficient to seek membership functions directly by way of genetic algorithms. Thus, we propose a concept of boundary constraints. Following this concept, the membership functions of a fuzzy model can be effectively obtained. And the simulaton results validate the proposed method.zh_TW
dc.language.isoen_USen_US
dc.subject基因遺傳演算法;模糊模型;隸屬函數;模糊法則;邊界限制zh_TW
dc.subjectgenetic algorithm;fuzzy model;membership function;fuzzy rule; boundary constrainten_US
dc.title基因遺傳演算法應用在模糊模型的建立之研究zh_TW
dc.titleThe Research of Genetic Algorithms Applied to the Construction of Fuzzy Modelen_US
dc.typeThesisen_US
dc.contributor.department電控工程研究所zh_TW
Appears in Collections:Thesis