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Volumn 38, Issue 2, 2002, Pages 3-1-3-8

Is correlation dimension a reliable indicator of low-dimensional chaos in short hydrological time series?

Author keywords

Correlation dimension; Data size; Low dimensional chaos; Prediction; Reliability; Runoff

Indexed keywords

NEURAL NETWORKS; RELIABILITY; WATERSHEDS;

EID: 0036214974     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2001wr000333     Document Type: Article
Times cited : (56)

References (24)
  • 2
    • 0034174396 scopus 로고    scopus 로고
    • Hydrologic applications
    • (2000) J. Hydrol. Eng. , vol.5 , Issue.2 , pp. 124-137
  • 3
    • 45149144372 scopus 로고
    • Nonlinear prediction of chaotic time series
    • (1989) Phys. D , vol.35 , pp. 335-356
    • Casdagli, M.1
  • 13
    • 0026311728 scopus 로고
    • Dimension of weather and climate attractors
    • (1991) Nature , vol.353 , pp. 241-244
    • Lorenz, E.N.1
  • 18
    • 0034737012 scopus 로고    scopus 로고
    • Chaos theory in hydrology: Important issues and interpretations
    • (2000) J. Hydrol. , vol.227 , Issue.1-4 , pp. 1-20
    • Sivakumar, B.1
  • 22
    • 0025199496 scopus 로고
    • Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series
    • (1990) Nature , vol.344 , pp. 734-741
    • Sugihara, G.1    May, R.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.