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Volumn 53, Issue 5, 2001, Pages 599-615

Nonlinear principal component analysis by neural networks

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; PRINCIPAL COMPONENT ANALYSIS; SEA LEVEL PRESSURE; SEA SURFACE TEMPERATURE;

EID: 0034778304     PISSN: 02806495     EISSN: None     Source Type: Journal    
DOI: 10.3402/tellusa.v53i5.12230     Document Type: Article
Times cited : (135)

References (21)
  • 6
    • 0003004815 scopus 로고    scopus 로고
    • Nonlinear canonical correlation analysis of the tropical Pacific climate variability using a neural network approach
    • in press
    • (2001) J. Climate
    • Hsieh, W.W.1
  • 9
  • 11
    • 0026113980 scopus 로고
    • Nonlinear principal component analysis using autoassociative neural networks
    • (1991) AIChE Journal , vol.37 , pp. 233-243
    • Kramer, M.A.1
  • 13
    • 0343191447 scopus 로고    scopus 로고
    • Nonlinear principal component analysis by neural networks: Theory and application to the Lorenz system
    • (2000) J. Climate , vol.13 , pp. 821-835
    • Monahan, A.H.1
  • 14
    • 0035863376 scopus 로고    scopus 로고
    • Nonlinear principal component analysis: Tropical Indo-Pacific sea surface temperature and sea level pressure
    • (2001) J. Climate , vol.14 , pp. 219-233
    • Monahan, A.H.1
  • 15
    • 0020464111 scopus 로고
    • A simplified neuron model as a principal component analyzer
    • (1982) J. Math. Biology , vol.15 , pp. 267-273
    • Oja, E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.