Fuzzy recognition of graphite morphology in nodular cast iron based on evolution strategy

Author

Zhibin, Chen ; Yongquan, Yu ; Heqing, Chen ; Shaomin, Yang

Author_Institution

Fac. of Comput., Guangdong Univ. of Technol., Guangzhou, China

Volume

8

fYear

2005

fDate

18-21 Aug. 2005

Firstpage

4930

Abstract

The morphology of graphite is a decisive factor that affects the performance of nodular cast iron. In this paper, the basic types of graphite morphology in nodular cast iron are introduced. The morphological features used in the recognition are defined. During the establishment of a fuzzy recognition system, we apply the evolution strategy to computing the weight coefficient of every feature. The results of the experiment show that the method can effectively recognize the graphite with types of morphology in nodular cast iron.

Keywords

cast iron; evolutionary computation; fuzzy set theory; graphite; image recognition; evolution strategy; fuzzy recognition system; fuzzy system; graphite morphology; nodular cast iron; pattern recognition; Cast iron; Computer aided analysis; Fuzzy systems; Inorganic materials; Length measurement; Manufacturing processes; Mechanical factors; Morphology; Pattern recognition; Production; Fuzzy system; evolution strategy; graphite morphology; noadular cast iron; pattern recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on

Conference_Location

Guangzhou, China

Print_ISBN

0-7803-9091-1

Type

conf

DOI

10.1109/ICMLC.2005.1527811

Filename

1527811