메뉴 건너뛰기




Volumn 59, Issue , 2015, Pages 142-151

Rainfall Monthly Prediction Based on Artificial Neural Network: A Case Study in Tenggarong Station, East Kalimantan - Indonesia

Author keywords

ANN; BPNN; MSE; rainfall

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION ALGORITHMS; CLIMATE CHANGE; FORECASTING; MEAN SQUARE ERROR; NETWORK ARCHITECTURE; NEURAL NETWORKS;

EID: 84948400367     PISSN: 18770509     EISSN: 18770509     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2015.07.528     Document Type: Conference Paper
Times cited : (128)

References (17)
  • 1
    • 84948417713 scopus 로고    scopus 로고
    • Indonesia Climate Change Sectoral Rodmap (ICSSR): Basis Saintifik
    • Bappenas
    • Bappenas, Indonesia Climate Change Sectoral Rodmap (ICSSR): Basis Saintifik, Analisis dan Proyeksi Curah Hujan dan Temperatur, 2010.
    • (2010) Analisis Dan Proyeksi Curah Hujan Dan Temperatur
  • 2
    • 84864921457 scopus 로고    scopus 로고
    • Influences of diurnal rainfall cycle on CO2 exchange over bornean tropical rainforest
    • Kumagai, T. and T. Kume, Influences of diurnal rainfall cycle on CO2 exchange over bornean tropical rainforest. Ecological Modelling, 2012.
    • (2012) Ecological Modelling
    • Kumagai, T.1    Kume, T.2
  • 3
    • 77955303359 scopus 로고    scopus 로고
    • Regional and Temporal Climatic Clasification for Borneo
    • R. Dambul, and P. Jones Regional and Temporal Climatic Clasification for Borneo Geografia 5 1 2008 1 25
    • (2008) Geografia , vol.5 , Issue.1 , pp. 1-25
    • Dambul, R.1    Jones, P.2
  • 4
    • 0035868429 scopus 로고    scopus 로고
    • Trends in extreme daily rainfall and temperature in Southeast Asia and the South Pacific
    • M.J. Manton, and et al. Trends in extreme daily rainfall and temperature in Southeast Asia and the South Pacific Int. J. Climatol 21. 2001 269 284
    • (2001) Int. J. Climatol , vol.21 , pp. 269-284
    • Manton, M.J.1
  • 6
    • 70350310236 scopus 로고    scopus 로고
    • Climate Change Vulnerability Mapping for Southeast Asia
    • Yusuf, A.A. and H.A. Francisco, Climate Change Vulnerability Mapping for Southeast Asia, in Climate Change 2009.
    • (2009) Climate Change
    • Yusuf, A.A.1    Francisco, H.A.2
  • 7
    • 0242287032 scopus 로고    scopus 로고
    • Identification of three dominant rainfall regions within Indonesia and their relationship to sea surface temperature
    • E. Aldrian, and R.D. Susanto Identification of three dominant rainfall regions within indonesia and their relationship to sea surface temperature Int. J. Climatol 23 2003 1453 1464
    • (2003) Int. J. Climatol , vol.23 , pp. 1453-1464
    • Aldrian, E.1    Susanto, R.D.2
  • 8
    • 84927940729 scopus 로고    scopus 로고
    • Forecasting Network Activities Using ARIMA Method
    • Haviluddin, and R. Alfred Forecasting Network Activities Using ARIMA Method Journal of Advances in Computer Networks 2 3 September 2014 173 179
    • (2014) Journal of Advances in Computer Networks , vol.2 , Issue.3 , pp. 173-179
    • Haviluddin1    Alfred, R.2
  • 9
    • 84884622212 scopus 로고    scopus 로고
    • Application of Artificial Neural Networks in Weather Forecasting: A Comprehensive Literature Review
    • August 2012
    • Shrivastava, G., S. Karmakar, and M.K. Kowar, Application of Artificial Neural Networks in Weather Forecasting: A Comprehensive Literature Review. International Journal of Computer Applications, 2012. 51(18, August 2012): p. 17-29.
    • (2012) International Journal of Computer Applications , vol.51 , Issue.18 , pp. 17-29
    • Shrivastava, G.1    Karmakar, S.2    Kowar, M.K.3
  • 10
    • 84910594076 scopus 로고    scopus 로고
    • Modeling of monthly rainfall and runoff of Urmia lake basin using "feed-forward neural network" and "time series analysis" model
    • J. Farajzadeh, A.F. Fard, and S. Lotfi Modeling of monthly rainfall and runoff of Urmia lake basin using "feed-forward neural network" and "time series analysis" model Water Resources and Industry 7-8 2014 38 48
    • (2014) Water Resources and Industry , vol.7-8 , pp. 38-48
    • Farajzadeh, J.1    Fard, A.F.2    Lotfi, S.3
  • 12
    • 84948407990 scopus 로고    scopus 로고
    • Design of Neural Network Models for Daily Rainfall Prediction
    • January 2013
    • Charaniya, N.A. and S.V. Dudul, Design of Neural Network Models for Daily Rainfall Prediction. International Journal of Computer Applications, 2013. 61(14, January 2013): p. 23-26.
    • (2013) International Journal of Computer Applications , vol.61 , Issue.14 , pp. 23-26
    • Charaniya, N.A.1    Dudul, S.V.2
  • 13
    • 85027947823 scopus 로고    scopus 로고
    • Evolving RBF neural networks for rainfall prediction using hybrid particle swarm optimization and genetic algorithm
    • J. Wu, J. Long, and M. Liu Evolving RBF neural networks for rainfall prediction using hybrid particle swarm optimization and genetic algorithm Neurocomputing 148 2015 136 142
    • (2015) Neurocomputing , vol.148 , pp. 136-142
    • Wu, J.1    Long, J.2    Liu, M.3
  • 15
    • 84868658018 scopus 로고    scopus 로고
    • Forecasting and trading the EUR/USD exchange rate with stochastic Neural Network combination and time-varying leverage
    • G. Sermpinis, and et al. Forecasting and trading the EUR/USD exchange rate with stochastic Neural Network combination and time-varying leverage Decision Support Systems 54 2012 316 329
    • (2012) Decision Support Systems , vol.54 , pp. 316-329
    • Sermpinis, G.1
  • 16
    • 84966511454 scopus 로고    scopus 로고
    • Daily Network Traffic Prediction Based on Backpropagation Neural Network
    • Haviluddin and R. Alfred, Daily Network Traffic Prediction Based on Backpropagation Neural Network. Australian Journal of Basic and Applied Sciences, 2014. 8(24)(Special 2014): p. 164-169.
    • (2014) Australian Journal of Basic and Applied Sciences , vol.8 , Issue.24 , pp. 164-169
    • Haviluddin1    Alfred, R.2
  • 17
    • 84896505901 scopus 로고    scopus 로고
    • The genetic algorithm based back propagation neural network for MMP prediction in CO2-EOR process
    • Chen, G., et al., The genetic algorithm based back propagation neural network for MMP prediction in CO2-EOR process. Fuel, 2014. 126(2014): p. 202-212.
    • (2014) Fuel , vol.126 , Issue.2014 , pp. 202-212
    • Chen, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.