A novel approach for feature selection based on ant colony optimization algorithm

Geomatics and Information Science of Wuhan University

Volumn 32, Issue 12, 2007, Pages 1127-1130

  Ye, Zhiwei ^a   Zheng, Zhaobao ^b   Wan, Youchuan ^b   Yu, Xin ^b  

^a HUBEI UNIVERSITY OF TECHNOLOGY   (China)

^b WUHAN UNIVERSITY   (China)

Author keywords

Ant colony optimization; Feature selection; Optimal subset; Texture classification

Indexed keywords

ALGORITHMS; IMAGE CLASSIFICATION; IMAGE RECOGNITION; OPTIMIZATION; PRINCIPAL COMPONENT ANALYSIS;

ANT COLONY OPTIMIZATION ALGORITHM; TEXTURE CLASSIFICATION;

FEATURE EXTRACTION;

ACCURACY ASSESSMENT; ALGORITHM; IMAGE ANALYSIS; IMAGE CLASSIFICATION; OPTIMIZATION; PRINCIPAL COMPONENT ANALYSIS; TEXTURE;

EID: 38649139120     PISSN: 16718860     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (7)

1. Chinese source.
2. Chinese source.
3. Chinese source.
4. Chinese source.
5. Chinese source.
6. Pan Li, Zheng Hong. Genetic Feature Selection for Texture Classification[J]. Geo-spatial Information Science,2004,7(3):162-166
7. Coloring A, Dario M, Manifesto V. Distributed Optimization by Ant Colonies[C]. The 1st European Conference Artificial Life, Pans, 1991