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Volumn 44, Issue 2, 2007, Pages 243-247

Studying aromatic compounds in infrared spectra based on support vector machine

Author keywords

Aromatic compounds; C H and C C wagging out of plane vibration; Segmental spectra; Spectra structure correlation; Support vector machine

Indexed keywords

ABSORPTION; BENZENE; CORRELATION THEORY; INFRARED SPECTROSCOPY; NEURAL NETWORKS; SUPPORT VECTOR MACHINES;

EID: 34249063947     PISSN: 09242031     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.vibspec.2006.12.002     Document Type: Article
Times cited : (6)

References (26)
  • 25
    • 0003991806 scopus 로고    scopus 로고
    • Publishing House of Electronics Industry, Beijing pp. 365-373
    • Vapnik V.N. Statistical Learning Theory (2004), Publishing House of Electronics Industry, Beijing pp. 365-373
    • (2004) Statistical Learning Theory
    • Vapnik, V.N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.