Support vector machine classification of volatile organic compounds based on narrow‐band spectroscopic data

Publisher: John Wiley & Sons Inc

E-ISSN: 1099-128x|29|1|38-48

ISSN: 0886-9383

Source: JOURNAL OF CHEMOMETRICS (ELECTRONIC), Vol.29, Iss.1, 2015-01, pp. : 38-48

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

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Abstract