메뉴 건너뛰기




Volumn 57, Issue , 2014, Pages 165-176

Analysing coastal ocean model outputs using competitive-learning pattern recognition techniques

Author keywords

Data mining; Ocean modelling; Pattern recognition; Self organizing maps

Indexed keywords

CONFORMAL MAPPING; DATA MINING; DATA PROCESSING; FLUID DYNAMICS; SELF ORGANIZING MAPS; SENSOR NETWORKS;

EID: 84901496437     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2014.03.001     Document Type: Article
Times cited : (20)

References (51)
  • 1
    • 84855497539 scopus 로고    scopus 로고
    • Neural computing modeling of reference crop evapotranspiration
    • Adeloye A.J., Rustum R., Kariyama I.D. Neural computing modeling of reference crop evapotranspiration. Environ. Model. Softw. 2012, 29:61-73.
    • (2012) Environ. Model. Softw. , vol.29 , pp. 61-73
    • Adeloye, A.J.1    Rustum, R.2    Kariyama, I.D.3
  • 4
    • 80155198180 scopus 로고    scopus 로고
    • The tail of two rivers in Tasmania: the Derwent and Huon estuaries
    • Springer Verlag, Berlin/Heidelberg, Chapter 5H, P. Wangersky (Ed.)
    • Butler E. The tail of two rivers in Tasmania: the Derwent and Huon estuaries. Estuaries, ser. The Handbook of Environmental Chemistry 2006, 1-49. Springer Verlag, Berlin/Heidelberg, Chapter 5H. P. Wangersky (Ed.).
    • (2006) Estuaries, ser. The Handbook of Environmental Chemistry , pp. 1-49
    • Butler, E.1
  • 5
    • 0033939783 scopus 로고    scopus 로고
    • Using self-organizing maps to investigate extreme climate events: an application to wintertime precipitation in the Balkans
    • Cavaros T. Using self-organizing maps to investigate extreme climate events: an application to wintertime precipitation in the Balkans. J.Clim. 2000, 13:1718-1732.
    • (2000) J.Clim. , vol.13 , pp. 1718-1732
    • Cavaros, T.1
  • 7
    • 0032638108 scopus 로고    scopus 로고
    • Automation in Mössbauer spectroscopy data analysis
    • de Souza P.A. Automation in Mössbauer spectroscopy data analysis. Lab. Robot. Autom. 1999, 11:3-23.
    • (1999) Lab. Robot. Autom. , vol.11 , pp. 3-23
    • de Souza, P.A.1
  • 8
    • 40149086376 scopus 로고    scopus 로고
    • Generalised model of primary production in the southern Benguela upwelling system
    • Demarcq H., Richardson A.J., Field J.G. Generalised model of primary production in the southern Benguela upwelling system. Mar. Ecol. Prog. Ser. 2008, 354:59-74.
    • (2008) Mar. Ecol. Prog. Ser. , vol.354 , pp. 59-74
    • Demarcq, H.1    Richardson, A.J.2    Field, J.G.3
  • 9
    • 84858972232 scopus 로고    scopus 로고
    • Relocatable, automated cost-benefit analysis for marine sensor network design
    • D'Este C.C., de Souza P.A., Sharman C., Allen S. Relocatable, automated cost-benefit analysis for marine sensor network design. Sensors 2012, 12(3):2874-2898.
    • (2012) Sensors , vol.12 , Issue.3 , pp. 2874-2898
    • D'Este, C.C.1    de Souza, P.A.2    Sharman, C.3    Allen, S.4
  • 10
    • 84855195778 scopus 로고    scopus 로고
    • Data-driven modeling approaches to support wastewater treatment plant operation
    • Dürrenmatt D.J., Gujer W. Data-driven modeling approaches to support wastewater treatment plant operation. Environ. Model. Softw. 2012, 30:47-56.
    • (2012) Environ. Model. Softw. , vol.30 , pp. 47-56
    • Dürrenmatt, D.J.1    Gujer, W.2
  • 11
    • 84861950661 scopus 로고    scopus 로고
    • Data-driven modeling of surface temperature anomaly and solar activity trends
    • Friedel M.J. Data-driven modeling of surface temperature anomaly and solar activity trends. Environ. Model. Softw. 2012, 37:217-232.
    • (2012) Environ. Model. Softw. , vol.37 , pp. 217-232
    • Friedel, M.J.1
  • 12
    • 84875662591 scopus 로고    scopus 로고
    • Hybrid modeling of spatial continuity for application to numerical inverse problems
    • Friedel M.J., Iwashita F. Hybrid modeling of spatial continuity for application to numerical inverse problems. Environ. Model. Softw. 2013, 43:60-79.
    • (2013) Environ. Model. Softw. , vol.43 , pp. 60-79
    • Friedel, M.J.1    Iwashita, F.2
  • 14
    • 33746097788 scopus 로고    scopus 로고
    • An alternative coordinate system for solving finite difference ocean models
    • Herzfeld M. An alternative coordinate system for solving finite difference ocean models. Ocean. Model. 2006, 14:174-196.
    • (2006) Ocean. Model. , vol.14 , pp. 174-196
    • Herzfeld, M.1
  • 15
    • 77952959921 scopus 로고    scopus 로고
    • Modelling the physical oceanography of the D'Entrecasteaux channel and the Huon estuary, south-eastern Tasmania
    • Herzfeld M., Andrewartha J., Sakov P. Modelling the physical oceanography of the D'Entrecasteaux channel and the Huon estuary, south-eastern Tasmania. Mar. Freshw. Res. 2010, 61:568-586.
    • (2010) Mar. Freshw. Res. , vol.61 , pp. 568-586
    • Herzfeld, M.1    Andrewartha, J.2    Sakov, P.3
  • 16
    • 0037044030 scopus 로고    scopus 로고
    • Self-organizing maps: applications to synoptic climatology
    • Hewitson B.C., Crane R.G. Self-organizing maps: applications to synoptic climatology. Clim. Res. 2002, 22:13-26.
    • (2002) Clim. Res. , vol.22 , pp. 13-26
    • Hewitson, B.C.1    Crane, R.G.2
  • 18
    • 53749107670 scopus 로고    scopus 로고
    • Impact of Indian Ocean on seasonal zonal currents at 90 deg E as revealed by self-organizing map
    • L14S03
    • Iskandar I., Tozuka T., Liu Y., Matsumoto Y., Yamagata T. Impact of Indian Ocean on seasonal zonal currents at 90 deg E as revealed by self-organizing map. Geophys. Res. Lett. 2008, 35:L14S03. 10.1029/2008GL033468.
    • (2008) Geophys. Res. Lett. , vol.35
    • Iskandar, I.1    Tozuka, T.2    Liu, Y.3    Matsumoto, Y.4    Yamagata, T.5
  • 19
    • 77953137528 scopus 로고    scopus 로고
    • Seasonal and inter annual patterns of sea surface temperature in the Banda Sea, as revealed by self-organizing map
    • Iskandar I. Seasonal and inter annual patterns of sea surface temperature in the Banda Sea, as revealed by self-organizing map. Cont. Shelf Res. 2010, 30:1136-1148.
    • (2010) Cont. Shelf Res. , vol.30 , pp. 1136-1148
    • Iskandar, I.1
  • 20
    • 78650430277 scopus 로고    scopus 로고
    • Interaction between the East China Sea Kuroshio and the Ryukyu Current as revealed by the self-organizing map
    • Jin B., Wang G., Liu Y., Zhang R. Interaction between the East China Sea Kuroshio and the Ryukyu Current as revealed by the self-organizing map. J.Geophys. Res. 2010, 115:C12047. 10.1029/2010JC006437.
    • (2010) J.Geophys. Res. , vol.115
    • Jin, B.1    Wang, G.2    Liu, Y.3    Zhang, R.4
  • 21
    • 84856997415 scopus 로고    scopus 로고
    • Assimilation of glider and mooring data into a coastal ocean model
    • Jones E.M., Oke P.R., Rizwi F., Murray L.M. Assimilation of glider and mooring data into a coastal ocean model. Ocean. Model. 2012, 47:1-13.
    • (2012) Ocean. Model. , vol.47 , pp. 1-13
    • Jones, E.M.1    Oke, P.R.2    Rizwi, F.3    Murray, L.M.4
  • 22
    • 40749144865 scopus 로고    scopus 로고
    • Review of the self-organizing map (SOM) approach in water resources: analysis, modelling and application
    • Kalteh A.M., Hjorth P., Berndtsson R. Review of the self-organizing map (SOM) approach in water resources: analysis, modelling and application. Environ. Model. Softw. 2008, 23:835-845.
    • (2008) Environ. Model. Softw. , vol.23 , pp. 835-845
    • Kalteh, A.M.1    Hjorth, P.2    Berndtsson, R.3
  • 23
    • 0032216383 scopus 로고    scopus 로고
    • Decadal variability in ENSO predictability and prediction
    • Kirtman B., Schopf P. Decadal variability in ENSO predictability and prediction. J.Clim. 1998, 11(11):2804-2822.
    • (1998) J.Clim. , vol.11 , Issue.11 , pp. 2804-2822
    • Kirtman, B.1    Schopf, P.2
  • 26
    • 23144442853 scopus 로고    scopus 로고
    • Patterns of ocean current variability on the West Florida Shelf using the self-organizing map
    • Liu Y., Weisberg R.H. Patterns of ocean current variability on the West Florida Shelf using the self-organizing map. J.Geophys. Res. 2005, 110:C06003. 10.1029/2004JC002786.
    • (2005) J.Geophys. Res. , vol.110
    • Liu, Y.1    Weisberg, R.H.2
  • 27
    • 33745839757 scopus 로고    scopus 로고
    • Performance evaluation of self-organizing map for feature extraction
    • Liu Y., Weisberg R.H., Mooers C.N.K. Performance evaluation of self-organizing map for feature extraction. J.Geophys. Res. 2006, 111:C05018. 10.1029/2005JC003117.
    • (2006) J.Geophys. Res. , vol.111
    • Liu, Y.1    Weisberg, R.H.2    Mooers, C.N.K.3
  • 28
    • 62749148269 scopus 로고    scopus 로고
    • Columbia River plume patterns in summer 2004 as revealed by a hind cast coastal ocean circulation model
    • Liu Y., McCready P., Hickey B.M. Columbia River plume patterns in summer 2004 as revealed by a hind cast coastal ocean circulation model. Geophys. Res. Lett. 2009, 36:L02601. 10.1029/2008GL036447.
    • (2009) Geophys. Res. Lett. , vol.36
    • Liu, Y.1    McCready, P.2    Hickey, B.M.3
  • 29
    • 80052322875 scopus 로고    scopus 로고
    • Areview of self-organizing map applications in meteorology and oceanography
    • InTech Publishers, J.I. Mwasiagi (Ed.)
    • Liu Y., Weisberg R.H. Areview of self-organizing map applications in meteorology and oceanography. Self-Organizing Maps: Applications and Novel Algorithm Design 2011, InTech Publishers. J.I. Mwasiagi (Ed.).
    • (2011) Self-Organizing Maps: Applications and Novel Algorithm Design
    • Liu, Y.1    Weisberg, R.H.2
  • 30
    • 84881235346 scopus 로고    scopus 로고
    • Advanced monitoring platform for industrial wastewater treatment: multivariate approach using the self-organizing map
    • Liukkonen M., Laakso I., Hiltunen Y. Advanced monitoring platform for industrial wastewater treatment: multivariate approach using the self-organizing map. Environ. Model. Softw. 2013, 48:193-201.
    • (2013) Environ. Model. Softw. , vol.48 , pp. 193-201
    • Liukkonen, M.1    Laakso, I.2    Hiltunen, Y.3
  • 32
    • 84871793510 scopus 로고    scopus 로고
    • Satellite data assimilation and estimation of a 3D coastal sediment transport model using error-subspace emulators
    • Margvelashvili N., Andrewartha J., Herzfeld M., Robson B.J., Brando V.E. Satellite data assimilation and estimation of a 3D coastal sediment transport model using error-subspace emulators. Environ. Model. Softw. 2013, 40:191-201.
    • (2013) Environ. Model. Softw. , vol.40 , pp. 191-201
    • Margvelashvili, N.1    Andrewartha, J.2    Herzfeld, M.3    Robson, B.J.4    Brando, V.E.5
  • 34
    • 77958153243 scopus 로고    scopus 로고
    • Climate variability in the Indian Ocean as revealed by self-organizing maps
    • Morioka Y.C., Tozuka T., Yamagata T. Climate variability in the Indian Ocean as revealed by self-organizing maps. Clim. Dyn. 2010, 35:1059-1072.
    • (2010) Clim. Dyn. , vol.35 , pp. 1059-1072
    • Morioka, Y.C.1    Tozuka, T.2    Yamagata, T.3
  • 35
    • 84878935744 scopus 로고    scopus 로고
    • Bayesian learning and predictability in a stochastic nonlinear dynamical model
    • Parslow J., Cressie N.A., Campbell E., Jones E., Murray L.M. Bayesian learning and predictability in a stochastic nonlinear dynamical model. Ecol. Appl. 2013, 23(4):679-698. 10.1890/12-01312.1.
    • (2013) Ecol. Appl. , vol.23 , Issue.4 , pp. 679-698
    • Parslow, J.1    Cressie, N.A.2    Campbell, E.3    Jones, E.4    Murray, L.M.5
  • 36
    • 17844404018 scopus 로고    scopus 로고
    • Towards ice-core-based synoptic reconstructions of West Antarctic climate with artificial neural networks
    • Reusch D.B., Alley R.B., Hewitson B.C. Towards ice-core-based synoptic reconstructions of West Antarctic climate with artificial neural networks. Int. J. Climatol. 2005, 25:581-610.
    • (2005) Int. J. Climatol. , vol.25 , pp. 581-610
    • Reusch, D.B.1    Alley, R.B.2    Hewitson, B.C.3
  • 37
    • 0036909984 scopus 로고    scopus 로고
    • Identifying characteristic chlorophyll a profiles in the coastal domain using an artificial neural network
    • Richardson A.J., Pfaff M.C., Field J.G., Silulwane N.F., Shillington F.A. Identifying characteristic chlorophyll a profiles in the coastal domain using an artificial neural network. J.Plankton Res. 2002, 24:1289-1303.
    • (2002) J.Plankton Res. , vol.24 , pp. 1289-1303
    • Richardson, A.J.1    Pfaff, M.C.2    Field, J.G.3    Silulwane, N.F.4    Shillington, F.A.5
  • 38
    • 1542321528 scopus 로고    scopus 로고
    • Using self-organizing maps to identify patterns in satellite imagery
    • Richardson A.J., Risien C., Shillington F.A. Using self-organizing maps to identify patterns in satellite imagery. Prog. Oceanogr. 2003, 59:223-239.
    • (2003) Prog. Oceanogr. , vol.59 , pp. 223-239
    • Richardson, A.J.1    Risien, C.2    Shillington, F.A.3
  • 39
    • 0000248611 scopus 로고
    • Artificial neural network for identification of a substance from a Mössbauer data bank
    • Salles E.O.T., de Souza P.A., Garg V.K. Artificial neural network for identification of a substance from a Mössbauer data bank. Nucl. Instruments Methods Phys. Res. B 1994, 94:499-502.
    • (1994) Nucl. Instruments Methods Phys. Res. B , vol.94 , pp. 499-502
    • Salles, E.O.T.1    de Souza, P.A.2    Garg, V.K.3
  • 40
    • 84870301004 scopus 로고    scopus 로고
    • Mixed-method integration and advances in fuzzy cognitive maps for computational policy simulations for natural hazard mitigation
    • Samarasinghe S., Strickert G. Mixed-method integration and advances in fuzzy cognitive maps for computational policy simulations for natural hazard mitigation. Environ. Model. Softw. 2013, 39:188-200.
    • (2013) Environ. Model. Softw. , vol.39 , pp. 188-200
    • Samarasinghe, S.1    Strickert, G.2
  • 42
    • 33744980453 scopus 로고    scopus 로고
    • Self-organizing map methods in integrated modelling of environmental and economic systems
    • Shanmuganathan S., Sallis P., Buckeridge J. Self-organizing map methods in integrated modelling of environmental and economic systems. Environ. Model. Softw. 2006, 21:1247-1256.
    • (2006) Environ. Model. Softw. , vol.21 , pp. 1247-1256
    • Shanmuganathan, S.1    Sallis, P.2    Buckeridge, J.3
  • 44
    • 44649194519 scopus 로고    scopus 로고
    • Meteorological data analysis using self-organizing maps
    • Tambouratzis T., Tambouratzis G. Meteorological data analysis using self-organizing maps. Int. J. Intel. Syst. 2008, 23:735-759.
    • (2008) Int. J. Intel. Syst. , vol.23 , pp. 735-759
    • Tambouratzis, T.1    Tambouratzis, G.2
  • 47
    • 0028769579 scopus 로고
    • Fuzzy self-organizing map
    • Vuorimaa P. Fuzzy self-organizing map. Fuzzy Sets Syst. 1994, 66:223-231.
    • (1994) Fuzzy Sets Syst. , vol.66 , pp. 223-231
    • Vuorimaa, P.1
  • 48
    • 77649192043 scopus 로고    scopus 로고
    • Parameter optimisation techniques and the problem of underdetermination in marine biogeochemical models
    • Ward B.A., Friedrichs M.A.M., Anderson T.R., Oschlies A. Parameter optimisation techniques and the problem of underdetermination in marine biogeochemical models. J.Mar. Syst. 2010, 81:34-43.
    • (2010) J.Mar. Syst. , vol.81 , pp. 34-43
    • Ward, B.A.1    Friedrichs, M.A.M.2    Anderson, T.R.3    Oschlies, A.4
  • 49
    • 77649179520 scopus 로고    scopus 로고
    • Applied coastal biogeochemical modelling to quantify the environmental impact of fish farm nutrients and inform managers
    • Wild-Allen K., Herzfeld M., Thompson P.A., Rosebrock U., Parslow J., Volkman J.K. Applied coastal biogeochemical modelling to quantify the environmental impact of fish farm nutrients and inform managers. J.Mar. Syst. 2010, 81:134-147.
    • (2010) J.Mar. Syst. , vol.81 , pp. 134-147
    • Wild-Allen, K.1    Herzfeld, M.2    Thompson, P.A.3    Rosebrock, U.4    Parslow, J.5    Volkman, J.K.6
  • 51
    • 33645959158 scopus 로고    scopus 로고
    • Neural network forecasts of the tropical Pacific sea surface temperatures
    • Wu D., Hsieh W.W., Tang B. Neural network forecasts of the tropical Pacific sea surface temperatures. Neural Netw. 2006, 19(2):145-154.
    • (2006) Neural Netw. , vol.19 , Issue.2 , pp. 145-154
    • Wu, D.1    Hsieh, W.W.2    Tang, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.