메뉴 건너뛰기




Volumn 527, Issue , 2015, Pages 88-100

A hybrid wavelet neural network model with mutual information and particle swarm optimization for forecasting monthly rainfall

Author keywords

Forecasting; Monthly rainfall; Mutual information; Particle swarm optimization; Wavelet neural network

Indexed keywords

CLIMATE MODELS; DISCRETE WAVELET TRANSFORMS; ERROR STATISTICS; FORECASTING; GAGES; INVERSE PROBLEMS; INVERSE TRANSFORMS; NEURAL NETWORKS; RAIN; RAIN GAGES; WAVELET TRANSFORMS; WEATHER FORECASTING;

EID: 84928955803     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2015.04.047     Document Type: Article
Times cited : (92)

References (56)
  • 1
    • 84862685995 scopus 로고    scopus 로고
    • Application of artificial neural networks to rainfall forecasting in Queensland, Australia
    • Abbot J., Marohasy J. Application of artificial neural networks to rainfall forecasting in Queensland, Australia. Adv. Atmos. Sci. 2012, 29(4):717-730.
    • (2012) Adv. Atmos. Sci. , vol.29 , Issue.4 , pp. 717-730
    • Abbot, J.1    Marohasy, J.2
  • 2
    • 0034174280 scopus 로고    scopus 로고
    • Artificial neural networks in hydrology: preliminary concepts
    • ASCE Task Committee Artificial neural networks in hydrology: preliminary concepts. J. Hydrol. Eng. 2000, 5(2):115-123.
    • (2000) J. Hydrol. Eng. , vol.5 , Issue.2 , pp. 115-123
  • 3
    • 0034174396 scopus 로고    scopus 로고
    • Artificial neural networks in hydrology: hydrologic applications
    • ASCE Task Committee Artificial neural networks in hydrology: hydrologic applications. J. Hydrol. Eng. 2000, 5(2):124-137.
    • (2000) J. Hydrol. Eng. , vol.5 , Issue.2 , pp. 124-137
  • 4
    • 0242337482 scopus 로고    scopus 로고
    • Influence of the Indian Ocean Dipole on the Australian winter rainfall
    • Ashok K., Guan Z., Yamagata T. Influence of the Indian Ocean Dipole on the Australian winter rainfall. Geophys. Res. Lett. 2003, 30(15):1821. 10.1029/2003GL017926.
    • (2003) Geophys. Res. Lett. , vol.30 , Issue.15 , pp. 1821
    • Ashok, K.1    Guan, Z.2    Yamagata, T.3
  • 5
    • 84928971761 scopus 로고    scopus 로고
    • (accessed 2014).
    • BOM, (accessed 2014). http://www.bom.gov.au/lam/climate/levelthree/ausclim/ausclim.htm.
  • 6
    • 10644295753 scopus 로고    scopus 로고
    • Input determination for neural network models in water resources applications. Part 1 - background and methodology
    • Bowden G.J., Dandy G.C., Maier H.R. Input determination for neural network models in water resources applications. Part 1 - background and methodology. J. Hydrol. 2005, 301:75-92.
    • (2005) J. Hydrol. , vol.301 , pp. 75-92
    • Bowden, G.J.1    Dandy, G.C.2    Maier, H.R.3
  • 7
    • 77950862252 scopus 로고    scopus 로고
    • A multiscale information theory approach to assess spatial-temporal variability of daily precipitation
    • Brunsell N.A. A multiscale information theory approach to assess spatial-temporal variability of daily precipitation. J. Hydrol. 2010, 385:165-172.
    • (2010) J. Hydrol. , vol.385 , pp. 165-172
    • Brunsell, N.A.1
  • 9
    • 0036464756 scopus 로고    scopus 로고
    • The particle swarm-explosion, stability, and convergence in a multidimensional complex space
    • Clerc M., Kennedy J. The particle swarm-explosion, stability, and convergence in a multidimensional complex space. IEEE Trans. Evolutionary Comput. 2002, 6(1):58-73.
    • (2002) IEEE Trans. Evolutionary Comput. , vol.6 , Issue.1 , pp. 58-73
    • Clerc, M.1    Kennedy, J.2
  • 10
    • 33744458537 scopus 로고    scopus 로고
    • The WMTSA wavelet toolkit for data analysis in the geosciences
    • Fall Meet. Suppl., Abstract NG11A-0173.
    • Cornish, C.R., Percival, D.B., Bretherton, C.S., 2003. The WMTSA wavelet toolkit for data analysis in the geosciences. Eos Trans. AGU 84(46). Fall Meet. Suppl., Abstract NG11A-0173.
    • (2003) Eos Trans. AGU , vol.84 , Issue.46
    • Cornish, C.R.1    Percival, D.B.2    Bretherton, C.S.3
  • 11
    • 33744478625 scopus 로고    scopus 로고
    • Maximal overlap wavelet statistical analysis with application to atmospheric turbulence
    • Cornish C.R., Bretherton C.S., Percival D.B. Maximal overlap wavelet statistical analysis with application to atmospheric turbulence. Boundary-Layer Meteorol. 2006, 119(2):339-374.
    • (2006) Boundary-Layer Meteorol. , vol.119 , Issue.2 , pp. 339-374
    • Cornish, C.R.1    Bretherton, C.S.2    Percival, D.B.3
  • 12
    • 0003833285 scopus 로고
    • Ten lectures on wavelets. CBMS-NSF Regional Conference Series in Applied Mathematics 61
    • Philadelphia, PA: Soc. Ind. Appl. Math.
    • Daubechies, I., 1992. Ten lectures on wavelets. CBMS-NSF Regional Conference Series in Applied Mathematics 61, Philadelphia, PA: Soc. Ind. Appl. Math.
    • (1992)
    • Daubechies, I.1
  • 15
    • 23844455202 scopus 로고    scopus 로고
    • The latitude of the subtropical ridge over eastern Australia: the L index revisited
    • Drosdowsky W. The latitude of the subtropical ridge over eastern Australia: the L index revisited. Int. J. Climatol. 2005, 25:1291-1299.
    • (2005) Int. J. Climatol. , vol.25 , pp. 1291-1299
    • Drosdowsky, W.1
  • 16
    • 34247109046 scopus 로고    scopus 로고
    • Prediction of hourly and daily diffuse fraction using neural network as compared to linear regression models
    • Elminir H.K., Azzam Y.A., Younes F.I. Prediction of hourly and daily diffuse fraction using neural network as compared to linear regression models. Energy 2007, 32:1513-1523.
    • (2007) Energy , vol.32 , pp. 1513-1523
    • Elminir, H.K.1    Azzam, Y.A.2    Younes, F.I.3
  • 17
    • 48749120281 scopus 로고    scopus 로고
    • Forecasting water allocations for Bundaberg sugarcane farmers
    • Everingham Y., Baillie C., Inman-Bamber G., Baillie J. Forecasting water allocations for Bundaberg sugarcane farmers. Clim. Res. 2008, 36(3):231-239.
    • (2008) Clim. Res. , vol.36 , Issue.3 , pp. 231-239
    • Everingham, Y.1    Baillie, C.2    Inman-Bamber, G.3    Baillie, J.4
  • 18
    • 61749084755 scopus 로고    scopus 로고
    • Selection of input variables for data driven models: an average shifted histogram partial mutual information estimator approach
    • Fernando T.M.K.G., Maier H.R., Dandy G.C. Selection of input variables for data driven models: an average shifted histogram partial mutual information estimator approach. J. Hydrol. 2009, 367:165-176.
    • (2009) J. Hydrol. , vol.367 , pp. 165-176
    • Fernando, T.M.K.G.1    Maier, H.R.2    Dandy, G.C.3
  • 19
    • 78649379718 scopus 로고    scopus 로고
    • Utility of seasonal climate forecasts in management of winter-wheat grazing
    • Garbrecht J.D., Zhang X.C., Schneider J.M., Steiner J.L. Utility of seasonal climate forecasts in management of winter-wheat grazing. Appl. Eng. Agric. 2010, 26(5):855-866.
    • (2010) Appl. Eng. Agric. , vol.26 , Issue.5 , pp. 855-866
    • Garbrecht, J.D.1    Zhang, X.C.2    Schneider, J.M.3    Steiner, J.L.4
  • 21
    • 84899473212 scopus 로고    scopus 로고
    • A wavelet-based multiple linear regression model for forecasting monthly rainfall
    • He X.G., Guan H.D., Zhang X.P., Craig T.S. A wavelet-based multiple linear regression model for forecasting monthly rainfall. Int. J. Climatol. 2014, 34(6):1898-1912.
    • (2014) Int. J. Climatol. , vol.34 , Issue.6 , pp. 1898-1912
    • He, X.G.1    Guan, H.D.2    Zhang, X.P.3    Craig, T.S.4
  • 23
    • 38549138689 scopus 로고    scopus 로고
    • Long-lead seasonal rainfall forecasting using timedelay recurrent neural networks: a case study
    • Karamouz M., Razavi S., Araghinejad S. Long-lead seasonal rainfall forecasting using timedelay recurrent neural networks: a case study. Hydrol. Processes 2008, 22:229-241.
    • (2008) Hydrol. Processes , vol.22 , pp. 229-241
    • Karamouz, M.1    Razavi, S.2    Araghinejad, S.3
  • 24
    • 77955049922 scopus 로고    scopus 로고
    • Wavelet regression model for short-term stream flow forecasting
    • Kisi O. Wavelet regression model for short-term stream flow forecasting. J. Hydrol. 2010, 389:344-353.
    • (2010) J. Hydrol. , vol.389 , pp. 344-353
    • Kisi, O.1
  • 25
    • 79951579061 scopus 로고    scopus 로고
    • A wavelet-support vector machine conjunction model for monthly stream flow forecasting
    • Kisi O., Cimen M. A wavelet-support vector machine conjunction model for monthly stream flow forecasting. J. Hydrol. 2011, 399:132-140.
    • (2011) J. Hydrol. , vol.399 , pp. 132-140
    • Kisi, O.1    Cimen, M.2
  • 26
    • 34547938290 scopus 로고    scopus 로고
    • Regional rainfall forecasting using large scale climate teleconnections and artificial intelligence techniques
    • Kumar D.N., Reddy M.J., Maity R. Regional rainfall forecasting using large scale climate teleconnections and artificial intelligence techniques. J. Intelligent Syst. 2007, 16(4):307-322.
    • (2007) J. Intelligent Syst. , vol.16 , Issue.4 , pp. 307-322
    • Kumar, D.N.1    Reddy, M.J.2    Maity, R.3
  • 27
    • 36749056735 scopus 로고    scopus 로고
    • El Nino-southern oscillation and pacific decadal oscillation impacts on precipitation in the southern and central United States: evaluation of spatial distribution and predictions
    • Kurtzman D., Scanlon B.R. El Nino-southern oscillation and pacific decadal oscillation impacts on precipitation in the southern and central United States: evaluation of spatial distribution and predictions. Water Resour. Res. 2007, 43:W10427. 10.1029/2007WR005863.
    • (2007) Water Resour. Res. , vol.43 , pp. W10427
    • Kurtzman, D.1    Scanlon, B.R.2
  • 28
    • 72049086510 scopus 로고    scopus 로고
    • Dynamical forecast of inter-El Niño variations of tropical SST and Australian spring rainfall
    • Lim E.P., Hendon H.H., Hudson D., Wang G.M., Alves O. Dynamical forecast of inter-El Niño variations of tropical SST and Australian spring rainfall. Monthly Weather Rev. 2009, 137(11):3796-3810. 10.1175/2009MWR2904.1.
    • (2009) Monthly Weather Rev. , vol.137 , Issue.11 , pp. 3796-3810
    • Lim, E.P.1    Hendon, H.H.2    Hudson, D.3    Wang, G.M.4    Alves, O.5
  • 29
    • 0036275275 scopus 로고    scopus 로고
    • The pacific decadal oscillation
    • Mantua N., Hare S.R. The pacific decadal oscillation. J. Oceanography 2002, 58(1):35-44.
    • (2002) J. Oceanography , vol.58 , Issue.1 , pp. 35-44
    • Mantua, N.1    Hare, S.R.2
  • 30
    • 1642561866 scopus 로고    scopus 로고
    • Trends in the southern annular mode from observations and reanalyses
    • Marshall G.J. Trends in the southern annular mode from observations and reanalyses. J. Climate 2003, 16:4134-4143.
    • (2003) J. Climate , vol.16 , pp. 4134-4143
    • Marshall, G.J.1
  • 31
    • 0020867250 scopus 로고
    • Seasonal relationships between Australian rainfall and the southern oscillation
    • McBride J.L., Nicholls N. Seasonal relationships between Australian rainfall and the southern oscillation. Monthly Weather Rev. 1983, 111(10):1998-2004.
    • (1983) Monthly Weather Rev. , vol.111 , Issue.10 , pp. 1998-2004
    • McBride, J.L.1    Nicholls, N.2
  • 32
    • 84886301699 scopus 로고    scopus 로고
    • Streamflow prediction using linear genetic programming in comparison with a neuro-wavelet technique
    • Mehr A.D., Kahya E., Olyaie E. Streamflow prediction using linear genetic programming in comparison with a neuro-wavelet technique. J. Hydrol. 2013, 505:240-249.
    • (2013) J. Hydrol. , vol.505 , pp. 240-249
    • Mehr, A.D.1    Kahya, E.2    Olyaie, E.3
  • 33
    • 37349121744 scopus 로고    scopus 로고
    • Preface: climate predictions for better agricultural risk management
    • Meinke H., Sivakumar M.V.K., Motha R.P., Nelson R. Preface: climate predictions for better agricultural risk management. Aust. J. Agric. Res. 2007, 58(10):935-938.
    • (2007) Aust. J. Agric. Res. , vol.58 , Issue.10 , pp. 935-938
    • Meinke, H.1    Sivakumar, M.V.K.2    Motha, R.P.3    Nelson, R.4
  • 34
    • 33846554136 scopus 로고    scopus 로고
    • Association between Australian rainfall and the southern annular mode
    • Meneghini B., Simmonds I., Smith I. Association between Australian rainfall and the southern annular mode. Int. J. Climatol. 2007, 27:109-121.
    • (2007) Int. J. Climatol. , vol.27 , pp. 109-121
    • Meneghini, B.1    Simmonds, I.2    Smith, I.3
  • 35
    • 0027205884 scopus 로고
    • A scaled conjugate gradient algorithm for fast supervised learning
    • Moller M.F. A scaled conjugate gradient algorithm for fast supervised learning. Neural Networks 1993, 6(4):525-533.
    • (1993) Neural Networks , vol.6 , Issue.4 , pp. 525-533
    • Moller, M.F.1
  • 36
    • 84862139051 scopus 로고    scopus 로고
    • Hybrid wavelet-genetic programming approach to optimize ANN modelling of rainfall-runoff process
    • Nourani V., Komasi M., Alami M.T. Hybrid wavelet-genetic programming approach to optimize ANN modelling of rainfall-runoff process. J. Hydrol. Eng. 2012, 17(6):724-741.
    • (2012) J. Hydrol. Eng. , vol.17 , Issue.6 , pp. 724-741
    • Nourani, V.1    Komasi, M.2    Alami, M.T.3
  • 37
    • 0035310763 scopus 로고    scopus 로고
    • Exploring process data
    • Pearson R.K. Exploring process data. J. Process Control 2001, 11:179-194.
    • (2001) J. Process Control , vol.11 , pp. 179-194
    • Pearson, R.K.1
  • 39
    • 0032848620 scopus 로고    scopus 로고
    • Inter-decadal modulation of the impact of ENSO on Australia
    • Power S., Casey T., Folland C., Colman A., Mehta V. Inter-decadal modulation of the impact of ENSO on Australia. Clim. Dyn. 1999, 15(5):319-324.
    • (1999) Clim. Dyn. , vol.15 , Issue.5 , pp. 319-324
    • Power, S.1    Casey, T.2    Folland, C.3    Colman, A.4    Mehta, V.5
  • 40
    • 84880043630 scopus 로고    scopus 로고
    • Monthly rainfall prediction using wavelet neural network analysis
    • Ramana R.V., Krishna B., Kumar S.R., Pandey N.G. Monthly rainfall prediction using wavelet neural network analysis. Water Resour. Manage. 2013, 27:3697-3711.
    • (2013) Water Resour. Manage. , vol.27 , pp. 3697-3711
    • Ramana, R.V.1    Krishna, B.2    Kumar, S.R.3    Pandey, N.G.4
  • 42
    • 84855528144 scopus 로고    scopus 로고
    • Forecasting monthly precipitation in Central Chile: a self-organizing map approach using filtered sea surface temperature
    • Rivera D., Lillo M., Uvo C.B., Billib M., Arumí J.L. Forecasting monthly precipitation in Central Chile: a self-organizing map approach using filtered sea surface temperature. Theor. Appl. Climatol. 2012, 107:1-13.
    • (2012) Theor. Appl. Climatol. , vol.107 , pp. 1-13
    • Rivera, D.1    Lillo, M.2    Uvo, C.B.3    Billib, M.4    Arumí, J.L.5
  • 43
    • 0034105661 scopus 로고    scopus 로고
    • All India summer monsoon rainfall prediction using an artificial neural network
    • Sahai A.K., Soman M.K., Satyan V. All India summer monsoon rainfall prediction using an artificial neural network. Climate Dyn. 2000, 16:291-302.
    • (2000) Climate Dyn. , vol.16 , pp. 291-302
    • Sahai, A.K.1    Soman, M.K.2    Satyan, V.3
  • 44
    • 34748833473 scopus 로고    scopus 로고
    • What drives high flow events in the Swiss Alps? Recent developments in wavelet spectral analysis and their application to hydrology
    • Schaefli B., Maraun D., Holschneider M. What drives high flow events in the Swiss Alps? Recent developments in wavelet spectral analysis and their application to hydrology. Adv. Water Resour. 2007, 30:2511-2525.
    • (2007) Adv. Water Resour. , vol.30 , pp. 2511-2525
    • Schaefli, B.1    Maraun, D.2    Holschneider, M.3
  • 45
    • 65349104788 scopus 로고    scopus 로고
    • A cascade of artificial neural networks to predict transformers oil parameters
    • Shaban K., El-Hag A., Matveev A. A cascade of artificial neural networks to predict transformers oil parameters. IEEE Trans. Dielectrics Electr. Insulation 2009, 16(2):516-523.
    • (2009) IEEE Trans. Dielectrics Electr. Insulation , vol.16 , Issue.2 , pp. 516-523
    • Shaban, K.1    El-Hag, A.2    Matveev, A.3
  • 46
    • 0034694877 scopus 로고    scopus 로고
    • Seasonal to interannual rainfall probabilistic forecasts for improved water supply management: Part 1 - a strategy for system predictor identification
    • Sharma A. Seasonal to interannual rainfall probabilistic forecasts for improved water supply management: Part 1 - a strategy for system predictor identification. J. Hydrol. 2000, 239:232-239.
    • (2000) J. Hydrol. , vol.239 , pp. 232-239
    • Sharma, A.1
  • 47
    • 84896739021 scopus 로고    scopus 로고
    • An information theoretic alternative to model a natural system using observational information alone
    • Sharma A., Mehrotra R. An information theoretic alternative to model a natural system using observational information alone. Water Resour. Res. 2014, 50:650-660. 10.1002/2013WR013845.
    • (2014) Water Resour. Res. , vol.50 , pp. 650-660
    • Sharma, A.1    Mehrotra, R.2
  • 48
    • 0034694808 scopus 로고    scopus 로고
    • Seasonal to interannual rainfall probabilistic forecasts for improved water supply management: Part 2 - predictor identification of quarterly rainfall using ocean-atmosphere information
    • Sharma A., Luk K.C., Cordery I., Lall U. Seasonal to interannual rainfall probabilistic forecasts for improved water supply management: Part 2 - predictor identification of quarterly rainfall using ocean-atmosphere information. J. Hydrol. 2000, 239:240-248.
    • (2000) J. Hydrol. , vol.239 , pp. 240-248
    • Sharma, A.1    Luk, K.C.2    Cordery, I.3    Lall, U.4
  • 49
    • 84884590977 scopus 로고    scopus 로고
    • Time series prediction using PSO-optimized neural network and hybrid feature selection algorithm for IEEE load data
    • Sheikhan M., Mohammadi N. Time series prediction using PSO-optimized neural network and hybrid feature selection algorithm for IEEE load data. Neural Comput. Appl. 2013, 23:1185-1194.
    • (2013) Neural Comput. Appl. , vol.23 , pp. 1185-1194
    • Sheikhan, M.1    Mohammadi, N.2
  • 51
    • 84874767793 scopus 로고    scopus 로고
    • The relationship between the decline of Southeastern Australian rainfall and the strengthening of the subtropical ridge
    • Timbal B., Drosdowsky W. The relationship between the decline of Southeastern Australian rainfall and the strengthening of the subtropical ridge. Int. J. Climatol. 2013, 33(4):1021-1034.
    • (2013) Int. J. Climatol. , vol.33 , Issue.4 , pp. 1021-1034
    • Timbal, B.1    Drosdowsky, W.2
  • 53
  • 55
    • 84876561292 scopus 로고    scopus 로고
    • The millennium drought in southeast Australia (2001-2009): natural and human causes and implications for water resources, ecosystems, economy, and society
    • van DijK A., Beck H., Crosbie R., de Jeu R., Liu Y., Podger G., Timbal B., Viney N. The millennium drought in southeast Australia (2001-2009): natural and human causes and implications for water resources, ecosystems, economy, and society. Water Resour. Res. 2013, 49:1040-1057. 10.1002/wrcr.20123.
    • (2013) Water Resour. Res. , vol.49 , pp. 1040-1057
    • van DijK, A.1    Beck, H.2    Crosbie, R.3    de Jeu, R.4    Liu, Y.5    Podger, G.6    Timbal, B.7    Viney, N.8
  • 56
    • 33845543385 scopus 로고    scopus 로고
    • Wavelet network model and its application to the prediction of the hydrology
    • Wang W., Ding J. Wavelet network model and its application to the prediction of the hydrology. Nat. Sci. 2003, 1(1):67-71.
    • (2003) Nat. Sci. , vol.1 , Issue.1 , pp. 67-71
    • Wang, W.1    Ding, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.