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Volumn 13, Issue 4, 2006, Pages 443-448

Flash-flood forecasting by means of neural networks and nearest neighbour approach - A comparative study

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; FLASH FLOOD; FLOOD FORECASTING; NEAREST NEIGHBOR ANALYSIS;

EID: 33747877122     PISSN: 10235809     EISSN: 16077946     Source Type: Journal    
DOI: 10.5194/npg-13-443-2006     Document Type: Article
Times cited : (36)

References (14)
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    • Evaluation of artificial neural network techniques for flow forecasting in the River Yangtze, China
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    • (2002) Hydrol. Earth Syst. Sci. , vol.6 , Issue.4 , pp. 619-626
    • Dawson, C.W.1    Harpham, C.2    Wilby, R.L.3    Chen, Y.4
  • 4
    • 20844456071 scopus 로고    scopus 로고
    • Improving generalization of artificial neural networks in rainfall-runoff modelling
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    • Haykin, S.1
  • 8
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    • A non-linear rainfall-runoff model using radial basis function network
    • Lin, G. F. and Chen, L. H.: A non-linear rainfall-runoff model using radial basis function network, J. Hydrol., 289, 1-8, 2004.
    • (2004) J. Hydrol. , vol.289 , pp. 1-8
    • Lin, G.F.1    Chen, L.H.2
  • 9
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    • System identification
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    • Ljung, L.1
  • 10
    • 3142538909 scopus 로고    scopus 로고
    • Improved streamflow forecasting using self-organizing radial basis function artificial neural networks
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    • Modelling and Control of Floods
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.