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Neural Computing and Applications
Volumn 5, Issue 2, 1997, Pages 66-75
Development of a recurrent sigma-Pi neural network rainfall forecasting system in Hong Kong
Author keywords

Neural network; Rain storm likelihood index; Rainfall nowcasting; Recurrent Sigma P
Indexed keywords

EID: 21744431610     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/BF01501172     Document Type: Article
Times cited : (21)
References (10)
  • 1
    • 51249171837 scopus 로고
    • A meso-∂-scale of Meiyu front heavy rain - Part II: The dynamical analysis of rain-band disturbance
    • Guoxiang Y, Hanscheng L, Qiqiang H. A meso-∂-scale of Meiyu front heavy rain - part II: The dynamical analysis of rain-band disturbance. Advances in Atmospheric Science 1987; 4(4): 485-495
    • (1987) Advances in Atmospheric Science , vol.4 , Issue.4 , pp. 485-495
    • Guoxiang, Y.1    Hanscheng, L.2    Qiqiang, H.3
  • 2
    • 0023524174 scopus 로고
    • Mathematical models of rain storm events in space & time
    • Rodrignez Iturbe I, Eagleson PS. Mathematical models of rain storm events in space & time. Water Resource Res 1987; 23(1): 181-190
    • (1987) Water Resource Res , vol.23 , Issue.1 , pp. 181-190
    • Rodrignez Iturbe, I.1    Eagleson, P.S.2
  • 3
    • 0024525178 scopus 로고
    • Real-time analysis of prediction using satellite imagery, ground-based radars conventional observations and numerical model output
    • Collier CG, Goddard DM, Conway BJ. Real-time analysis of prediction using satellite imagery, ground-based radars conventional observations and numerical model output. Meteorol Mag 1989; 118(1398): 1-8
    • (1989) Meteorol Mag , vol.118 , Issue.1398 , pp. 1-8
    • Collier, C.G.1    Goddard, D.M.2    Conway, B.J.3
  • 5
    • 0000954408 scopus 로고
    • Forecasting techniques, a neural network short-term forecast of significant thunderstorm
    • McCann DW. Forecasting techniques, a neural network short-term forecast of significant thunderstorm. Weather & Forecasting 1992; 7(3)
    • (1992) Weather & Forecasting , vol.7 , Issue.3
    • McCann, D.W.1
  • 6
    • 8844221218 scopus 로고
    • Recurrent Sigma-Pi-Linked back-propagation neural network
    • Chow TWS, Gou F. Recurrent Sigma-Pi-Linked back-propagation neural network. Neural Processing Letters 1994; 1(2): 5-8
    • (1994) Neural Processing Letters , vol.1 , Issue.2 , pp. 5-8
    • Chow, T.W.S.1    Gou, F.2
  • 7
    • 0021576489 scopus 로고
    • Digital Radar Data as an Aid in Nowcasting in Hong Kong
    • Norrkoping, Sweden, 3-7 September
    • Lam CY. Digital Radar Data as an Aid in Nowcasting in Hong Kong. Proc Nowcasting-II Symposium, Norrkoping, Sweden, 3-7 September 1984
    • (1984) Proc Nowcasting-II Symposium
    • Lam, C.Y.1
  • 8
    • 27144469169 scopus 로고
    • Neural network Piecewise Linear preprocessing for time-series prediction
    • Brussels, Belgium, April
    • Chow TWS, Leung CT. Neural network Piecewise Linear preprocessing for time-series prediction. Proc European Symposium on Artificial Neural Networks, Brussels, Belgium, April 1995; 327-332
    • (1995) Proc European Symposium on Artificial Neural Networks , pp. 327-332
    • Chow, T.W.S.1    Leung, C.T.2
  • 9
    • 0023519728 scopus 로고
    • Relation between measured radar reflectivity and Surface rainfall
    • Austin PM. Relation between measured radar reflectivity and Surface rainfall. Mon Weather Rev 1987; 115: 1053-1071
    • (1987) Mon Weather Rev , vol.115 , pp. 1053-1071
    • Austin, P.M.1
  • 10
    • 0029375851 scopus 로고
    • Gradient calculation for dynamic recurrent neural networks: A survey
    • Pearlmutter BA. Gradient calculation for dynamic recurrent neural networks: a survey. IEEE Trans Neural Networks 1995; 6(5): 1212-1228
    • (1995) IEEE Trans Neural Networks , vol.6 , Issue.5 , pp. 1212-1228
    • Pearlmutter, B.A.1

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.