Paper Title:
Evaluate Fabric Wrinkle Grade Based on Subtractive Clustering Adaptive Network Fuzzy Inference Systems
  Abstract

In this paper, a new method of subtractive clustering adaptive network fuzzy inference systems is proposed to assess degree of wrinkle in the fabric. The clustering center can be gotten through subtractive clustering algorithm, which is the base to set up adaptive network inference systems. Firstly, subtractive clustering algorithm is used to confirm the structure of fuzzy neural network, then, fuzzy inference system is used to process pattern recognition. Finally, four kinds of fabric wrinkle feature parameters are used to verify the results on real fabric. The results show the applicability of the proposed method to real data.

  Info
Periodical
Advanced Materials Research (Volumes 332-334)
Chapter
Chapter 10: Finishing Technology
Edited by
Xiaoming Qian and Huawu Liu
Pages
1505-1510
DOI
10.4028/www.scientific.net/AMR.332-334.1505
Citation
X. B. Yang, "Evaluate Fabric Wrinkle Grade Based on Subtractive Clustering Adaptive Network Fuzzy Inference Systems", Advanced Materials Research, Vols. 332-334, pp. 1505-1510, 2011
Online since
September 2011
Authors
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Price
$32.00
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