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Volumn 112, Issue , 2013, Pages 136-142

A novel DPSO-SVM system for variable interval selection of endometrial tissue sections by near infrared spectroscopy

Author keywords

Cancer diagnosis; Discrete particle swarm optimization (DPSO); Endometrial tissue; Near infrared spectroscopy (NIR); Support vector machine (SVM); Variable interval selection

Indexed keywords

NEAR INFRARED SPECTROSCOPY; PARTICLE SWARM OPTIMIZATION (PSO); SUPPORT VECTOR MACHINES; TISSUE;

EID: 84891641063     PISSN: 00399140     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.talanta.2013.03.016     Document Type: Article
Times cited : (17)

References (38)
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    • 〈http://globocan.iarc.fr〉.
  • 34
    • 85026411641 scopus 로고    scopus 로고
    • in: Proceedings of the Workshop Particle Swarm Optimization.
    • A. Carlisle, G. Dozier, in: Proceedings of the Workshop Particle Swarm Optimization (2001) 1–6.
    • (2001) , pp. 1-6
    • Carlisle, A.1    Dozier, G.2
  • 36
    • 0003450542 scopus 로고
    • The Nature of Statistical Learning Theory
    • Springer-Verlag New York
    • Vapnik, V.N, The Nature of Statistical Learning Theory. 1995, Springer-Verlag, New York.
    • (1995)
    • Vapnik, V.N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.