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Volumn , Issue , 2009, Pages 45-50

Flood pattern detection using sliding window technique

Author keywords

[No Author keywords available]

Indexed keywords

FLOOD PREDICTION; HISTORICAL DATA; HYDROLOGICAL DATA; OCCURRENCE PATTERN; PATTERN DETECTION; PRIOR KNOWLEDGE; RAINFALL MEASUREMENTS; REGRESSION TECHNIQUES; RIVER WATER; SLIDING WINDOW TECHNIQUES; TEMPORAL DATA;

EID: 70349737602     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AMS.2009.15     Document Type: Conference Paper
Times cited : (7)

References (14)
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  • 2
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  • 3
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    • Performance of Neural Networks in Daily Streamflow Forecasting
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  • 4
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    • Bodri, L.1    Cermak, V.2
  • 5
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    • Design considerations for a virtual information center for humanitarian assistance/disaster relief using workflow modeling
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    • Bui, T.X.1    Sankaran, S.R.2
  • 6
    • 0035521194 scopus 로고    scopus 로고
    • Flood Forecasting Using Radial Basis Function Neural Networks
    • Chang, F.J., Liang, J.M., & Chen, Y.C. (2001). Flood Forecasting Using Radial Basis Function Neural Networks. IEEE. 31(4), 530-535.
    • (2001) IEEE , vol.31 , Issue.4 , pp. 530-535
    • Chang, F.J.1    Liang, J.M.2    Chen, Y.C.3
  • 9
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.