Festure-Extraction-Based Neuron-Fuzzy Classification Model

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題名:	Festure-Extraction-Based Neuron-Fuzzy Classification Model
作者:	Guo, Nai Ren Kuo, Chao-Lin Tsai, Tzong-Jiy 蔡宗吉 (東方技術學院電機工程系)
貢獻者:	東方技術學院電機工程系
關鍵詞:	Fuzzy set neural networks classification problem
日期:	2008-12-20
上傳時間:	2012-12-24 15:54:07 (UTC+8)
摘要:	In this paper, a neuron-fuzzy classification model (NFCM) is proposed that enables the extraction the feature variable and infers the classification results. The NFCM automatically generates the rules from the numerical data and triangular functions are used as the membership functions both in the feature extraction unit and the inference unit. To improve the proposed NFCM, one modificatory algorithm is applied. We utilize the Evolutionary Programming (EP) to determine the distribution of the fuzzy sets for each feature variable of the feature extraction unit. Finally, the proposed NFCM has been validated using one benchmark data set that is the Wine database.
關聯:	The 16th Natinal Conference on Fuzzy Theory and Its Applications, pp.591-596 中華民國第16屆模糊理論及其應用研討會會議手冊模糊理論及其應用研討會
顯示於類別:	[電機工程系(數位科技系、玩具科)] 國科會計畫

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