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Volumn 38, Issue 3, 2010, Pages 163-170

Performance of neural networks in forecasting daily precipitation using multiple sources

Author keywords

Fuzzy logic; Neural networks; Rainfall forecasting; Sri lanka

Indexed keywords


EID: 77957566769     PISSN: 13914588     EISSN: None     Source Type: Journal    
DOI: 10.4038/jnsfsr.v38i3.2305     Document Type: Article
Times cited : (14)

References (15)
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  • 3
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  • 4
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    • Rajurkar, M.P.1    Kothyari, U.C.2    Chaube, U.C.3
  • 5
    • 4644299731 scopus 로고    scopus 로고
    • Forecasting flows in Apalachicola River using neural networks
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  • 6
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    • Functional networks in realtime flood forecasting-a novel application
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    • Bruen, M.1    Yang, J.2
  • 7
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    • Application of an artificial neural network to typhoon rainfall forecasting
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    • Lin, G.F.1    Chen, L.H.2
  • 8
    • 33747853860 scopus 로고    scopus 로고
    • Drought forecasting using feed-forward recursive neural network
    • Mishra A.K. & Desai V.R. (2006). Drought forecasting using feed-forward recursive neural network. Ecological Modelling 198(1-2): 127-138.
    • (2006) Ecological Modelling , vol.198 , Issue.1-2 , pp. 127-138
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  • 10
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    • Forecasting the occurrence of precipitation in selected weather stations in the wet and dry zones of Sri Lanka
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  • 11
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    • Development of a precipitation forecasting model for Sri Lanka using artificial feed forward neural network
    • August 11, University of Ruhuna, Matara
    • nd Science Symposium, August 11, University of Ruhuna, Matara.
    • (2004) nd Science Symposium
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  • 12
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    • Performance of artificial neural networks for forecasting daily occurrence and annual depth of precipitation at a tropical site
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.