Paper Title:
Study of Rough Set-Based Taste Signals Identification
  Abstract

This paper gives a new method of rough set-based on taste signals identification. Further improve the identification accuracy by dividing regions more appropriate. The simulation data and the latest UCI machine learning taste signal data (Wine Quality) are used to verify the new method, and the new method is compared with other identification algorithms. The results fully show the correctness and effectiveness of the proposed identification method based on rough set.

  Info
Periodical
Advanced Materials Research (Volumes 354-355)
Chapter
Chapter 6: Power System and Automation
Edited by
Hao Zhang, Yang Fu and Zhong Tang
Pages
1170-1173
DOI
10.4028/www.scientific.net/AMR.354-355.1170
Citation
Y. J. Sun, Y. H. Sun, D. B. Pu, "Study of Rough Set-Based Taste Signals Identification", Advanced Materials Research, Vols. 354-355, pp. 1170-1173, 2012
Online since
October 2011
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Price
$32.00
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