| The Modeling of Fuzzy ART Neural
Network Based on Self-defined Closeness Degree and Its Application |
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| 作者姓名： | " target="_blank">HU Hai-yang WANG Wei-yi" target="_blank">WANG Wei-yi ZHANG Ming" target="_blank">ZHANG Ming JIN Rui-hua" target="_blank">JIN Rui-hua MA Jun" target="_blank">MA Jun CHEN Ai-lan" target="_blank">CHEN Ai-lan |
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| 作者单位： | HU Hai-yang（School of Mechatronic Engineering and Automation, Shanghai
University, Shanghai 200072, P. R. China）
WANG Wei-yi（School of Mechatronic Engineering and Automation, Shanghai
University, Shanghai 200072, P. R. China）
ZHANG Ming（School of Mechatronic Engineering and Automation, Shanghai
University, Shanghai 200072, P. R. China）
JIN Rui-hua（School of Mechatronic Engineering and Automation, Shanghai
University, Shanghai 200072, P. R. China）
MA Jun（School of Mechatronic Engineering and Automation, Shanghai
University, Shanghai 200072, P. R. China）
CHEN Ai-lan（School of Mechatronic Engineering and Automation, Shanghai
University, Shanghai 200072, P. R. China） |
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| 摘 要： |
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The Modeling of Fuzzy ART Neural Network Based on Self-defined Closeness Degree and Its Application |
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| HU Hai-yang,WANG Wei-yi,ZHANG Ming,JIN Rui-hua,MA Jun,CHEN Ai-lan.The Modeling of Fuzzy ART Neural
Network Based on Self-defined Closeness Degree and Its Application[J].Journal of Shanghai University(Natural Science),2004,10(Z1):234-238. |
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| Authors: | HU Hai-yang WANG Wei-yi ZHANG Ming JIN Rui-hua MA Jun CHEN Ai-lan |
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| Abstract: | This paper defines and proves a new closeness degree firstly, and then presents an improved-CFART neural network model, after introducing the closeness degree into the standard fuzzy ART model. This paper also develops an information analysis and simulation system based on the recognition of industrial real-time data from field. The results of simulation experiments demonstrate that the CFART model has excellent capability of pattern recognition for dynamic waveform. |
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| Keywords: | closeness degree fuzzy ART pattern recognition modeling and simulation |
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