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Volumn 336, Issue 1-3, 1996, Pages 209-222

Neural network learning to non-linear principal component analysis

Author keywords

Chemometrics; Dimensionality reduction; Exploratory data analysis (EDA); Multi layer feedforward network (MLFN); Non linear principal component analysis (NPCA); Principal component analysis (PCA)

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMOMETRICS; DATA ANALYSIS; LEARNING; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; REGRESSION ANALYSIS;

EID: 0030607717     PISSN: 00032670     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0003-2670(96)00359-5     Document Type: Article
Times cited : (15)

References (21)
  • 18
    • 0003945065 scopus 로고
    • Qinghua University Press, Beijing, China
    • [18] W.B. Jin and Y. Dai, Tobacco Chemistry, Qinghua University Press, Beijing, China, 1994.
    • (1994) Tobacco Chemistry
    • Jin, W.B.1    Dai, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.