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Volumn 23, Issue 4, 2008, Pages 232-238

Classification of the fragrance properties of chemical compounds based on support vector machine and linear discriminant analysis

Author keywords

Classification; Fragrance property; Linear discriminant analysis; Support vector machine

Indexed keywords

ARSENIC COMPOUNDS; CHEMICAL COMPOUNDS; CHEMICAL PROPERTIES; CHEMICALS; CLASSIFICATION (OF INFORMATION); DIGITAL SIGNAL PROCESSING; DISCRIMINANT ANALYSIS; EIGENVALUES AND EIGENFUNCTIONS; FORECASTING; FRAGRANCES; IMAGE RETRIEVAL; LEARNING ALGORITHMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; ODORS; PHOTORESISTS; VECTORS;

EID: 48249110989     PISSN: 08825734     EISSN: 10991026     Source Type: Journal    
DOI: 10.1002/ffj.1876     Document Type: Article
Times cited : (10)

References (34)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.