基于Pi-Sigma神經(jīng)網(wǎng)絡(luò)的高木一關(guān)野模糊系統(tǒng)用于數(shù)據(jù)關(guān)聯(lián)計算的建模
Pi-SIGMA NEURAL NETWORK BASED SUGENO-TAKAGI FUZZY SYSTEM USED FOR MODELLING DATA ASSOCIATION COMPUTATION PROBLEM
-
摘要: 本文首先提出了高木-關(guān)野模糊系統(tǒng)的混合PiSigma神經(jīng)網(wǎng)絡(luò)實現(xiàn)方法和技術(shù),然后研究了其在數(shù)據(jù)關(guān)聯(lián)建模中的應(yīng)用。實驗結(jié)果表明,本文的方法不失為一種解決數(shù)據(jù)關(guān)聯(lián)計算建模問題的新方法。
-
關(guān)鍵詞:
- 模糊系統(tǒng); 神經(jīng)網(wǎng)絡(luò); 建模
Abstract: In this paper, a method, which uses the new hybrid Pi-Sigma neural network to realize the Sugeno-Takagi fuzzy system, is presented. And then it is used for modelling the data association computation problem. Experimental results show that this method is a new one for data association modelling. -
王立新.自適應(yīng)模糊系統(tǒng)與控制.北京:國防工業(yè)出版社,1995,21-74.[2]趙振宇.模糊理論和神經(jīng)網(wǎng)絡(luò)的基礎(chǔ)與應(yīng)用.北京:清華大學(xué)出版社,1995,173-242.[3]金耀初,蔣靜坪,諸靜.自適應(yīng)模糊預(yù)測及其在天氣預(yù)報中的應(yīng)用.模式識別與人工智能,1993, (4): 75-78.[4]王仕同.Fuzzy basis function, Fuzzy neural network, The new hybrid learning algorithm, J. of Software Research.(已正式錄用).[5]胡守仁.神經(jīng)網(wǎng)絡(luò)導(dǎo)論.長沙:國防科技大學(xué)出版社,1994, 53-107.[6]汪培莊.模糊集合論及其應(yīng)用.上海:上?？茖W(xué)技術(shù)出版社,1987, 79-95. -
計量
- 文章訪問數(shù): 2178
- HTML全文瀏覽量: 164
- PDF下載量: 523
- 被引次數(shù): 0
下載:
