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ASME Press Select Proceedings
Intelligent Engineering Systems through Artificial Neural Networks, Volume 16
ISBN-10:
0791802566
No. of Pages:
1000
Publisher:
ASME Press
Publication date:
2006
eBook Chapter
113 Fuzzy Blocking Regression Analysis
By
Mika Sato-Ilic
Mika Sato-Ilic
Faculty of Systems and Information Engineering
University of Tsukuba
Tsukuba
, Japan
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Page Count:
6
-
Published:2006
Citation
Sato-Ilic, M. "Fuzzy Blocking Regression Analysis." Intelligent Engineering Systems through Artificial Neural Networks, Volume 16. Ed. Dagli, CH, Buczak, AL, Enke, DL, Embrechts, M, & Ersoy, O. ASME Press, 2006.
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In this paper, we propose regression analysis using fuzzy clusters obtained as the internal latent structure of the data. That is, we use fuzzy clustering to exploit its efficient power to reveal the latent classification structure of data. Several numerical examples show the good performance of the proposed method.
Topics:
Regression analysis
Abstract
Introduction
Fuzzy Clustering
A Blocking Regression Analysis
A Fuzzy Blocking Regression Analysis
Numerical Examples
Conclusion
References
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