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Volumn 29, Issue 8, 2012, Pages 814-820

Evolutionary algorithm for water storage forecasting response to climate change with small data sets: The wolonghu Wetland, China

Author keywords

evolutionary algorithm; small data set; water storage; Wolonghu wetland

Indexed keywords

ARTIFICIAL NEURAL NETWORK MODELS; CLIMATIC DATA; DATA SETS; GREY THEORY; MODEL TRAINING; MULTI LAYER PERCEPTRON; PERFORMANCE ESTIMATION; SMALL DATA SET; WATER STORAGE;

EID: 84864434804     PISSN: 10928758     EISSN: 15579018     Source Type: Journal    
DOI: 10.1089/ees.2011.0295     Document Type: Article
Times cited : (9)

References (34)
  • 2
    • 34547131556 scopus 로고    scopus 로고
    • Analysis and prediction of flow from local source in a river basin using a neuro-fuzzy modeling tool
    • Aqil, M., Kita, I., Yano, A., and Nishiyama, S. (2007). Analysis and prediction of flow from local source in a river basin using a neuro-fuzzy modeling tool. J. Environ. Manage. 85, 215.
    • (2007) J. Environ. Manage. , vol.85 , pp. 215
    • Aqil, M.1    Kita, I.2    Yano, A.3    Nishiyama, S.4
  • 3
    • 0042884061 scopus 로고    scopus 로고
    • Methods and examples for remote sensing data assimilation in land surface process modeling
    • Bach, H., and Mauser, W. (2003). Methods and examples for remote sensing data assimilation in land surface process modeling. IEEE Trans. Geosci. Remote Sens. 41, 1629.
    • (2003) IEEE Trans. Geosci. Remote Sens. , vol.41 , pp. 1629
    • Bach, H.1    Mauser, W.2
  • 5
    • 84864448308 scopus 로고    scopus 로고
    • Monitoring and modeling canopy water storage amounts in support of atmospheric deposition studies
    • Bouten, W., Schaap, M.G., Aerrs, J., and Vermetten, W.M. (1996). Monitoring and modeling canopy water storage amounts in support of atmospheric deposition studies. J. Hydrol. 185, 363.
    • (1996) J. Hydrol. , vol.185 , pp. 363
    • Bouten, W.1    Schaap, M.G.2    Aerrs, J.3    Vermetten, W.M.4
  • 6
    • 0037090214 scopus 로고    scopus 로고
    • Simulation of annual water table dynamics of a floodplain wetland, narborough bog, UK
    • Bradley, C. (2002). Simulation of annual water table dynamics of a floodplain wetland, Narborough Bog, UK. J. Hydrol. 261, 150.
    • (2002) J. Hydrol. , vol.261 , pp. 150
    • Bradley, C.1
  • 7
    • 0003280116 scopus 로고
    • Gamma ray attenuation studies of interception from Sitka spruce: Some evidence for an additional transport mechanism
    • Calder, I.R., and Wright, I.R. (1986). Gamma ray attenuation studies of interception from Sitka spruce: Some evidence for an additional transport mechanism. Water Resour. Res. 22, 409.
    • (1986) Water Resour. Res. , vol.22 , pp. 409
    • Calder, I.R.1    Wright, I.R.2
  • 10
    • 0032005702 scopus 로고    scopus 로고
    • An artificial neural network approach to rainfall-runoff modelling
    • Dawson, C.W., and Wilby, R. (1998). An artificial neural network approach to rainfall-runoff modelling. Hydrol. Sci. J. 43, 14.
    • (1998) Hydrol. Sci. J. , vol.43 , pp. 14
    • Dawson, C.W.1    Wilby, R.2
  • 11
    • 0038128193 scopus 로고    scopus 로고
    • Climate change impacts on freshwater wetland habitats
    • Dawson, T.P., Berry, P.M., and Kampa, E. (2003). Climate change impacts on freshwater wetland habitats. J. Nat. Conserv. 11, 25.
    • (2003) J. Nat. Conserv. , vol.11 , pp. 25
    • Dawson, T.P.1    Berry, P.M.2    Kampa, E.3
  • 12
    • 0001829246 scopus 로고
    • Introduction to grey system theory
    • Deng, J.L. (1989). Introduction to Grey system theory. J. Grey Syst. 1, 1.
    • (1989) J. Grey Syst. , vol.1 , pp. 1
    • Deng, J.L.1
  • 14
    • 0000152448 scopus 로고
    • Forecasting with neural networks: An application using bankruptcy data
    • Fletcher, D., and Goss, E. (1993). Forecasting with neural networks: An application using bankruptcy data. Inf. Manage. 24, 159.
    • (1993) Inf. Manage. , vol.24 , pp. 159
    • Fletcher, D.1    Goss, E.2
  • 15
    • 0028975902 scopus 로고
    • Thirty years of changes in the vegetation communities of three valley mires in Suffolk, England
    • Fojt, W., and Harding, M. (1995). Thirty years of changes in the vegetation communities of three valley mires in Suffolk, England. J. Appl. Ecol. 32, 561.
    • (1995) J. Appl. Ecol. , vol.32 , pp. 561
    • Fojt, W.1    Harding, M.2
  • 17
    • 33746932148 scopus 로고    scopus 로고
    • A grey system model for studying the response to climate change: The liulin karst springs, China
    • Hao, Y.H., Yeh, T.C.J., Gao, Z.Q., Wang, Y.R., and Zhao, Y. (2006). A Grey system model for studying the response to climate change: The Liulin Karst springs, China. J. Hydrol. 328, 668.
    • (2006) J. Hydrol. , vol.328 , pp. 668
    • Hao, Y.H.1    Yeh, T.C.J.2    Gao, Z.Q.3    Wang, Y.R.4    Zhao, Y.5
  • 18
    • 0036027497 scopus 로고    scopus 로고
    • Neural network modeling of salinity variation in apalachicola river
    • Huang, W., and Foo, S. (2002). Neural network modeling of salinity variation in Apalachicola River. Water Res. 36, 356.
    • (2002) Water Res. , vol.36 , pp. 356
    • Huang, W.1    Foo, S.2
  • 19
    • 0034641121 scopus 로고    scopus 로고
    • River flow prediction using artificial neural networks: Generalisation beyond the calibration range
    • Imrie, C.E., Durucan, S., and Korre, A. (2000). River flow prediction using artificial neural networks: Generalisation beyond the calibration range. J. Hydrol. 233, 138.
    • (2000) J. Hydrol. , vol.233 , pp. 138
    • Imrie, C.E.1    Durucan, S.2    Korre, A.3
  • 21
    • 2942534878 scopus 로고    scopus 로고
    • Water budget and cost-effectiveness analysis of wetland restoration alternatives: A case study of Levy Prairie, Alachua County, Florida
    • Kirk, J.A., Wis, W.R., and Delfino, J.J. (2004). Water budget and cost-effectiveness analysis of wetland restoration alternatives: a case study of Levy Prairie, Alachua County, Florida. Ecol. Eng. 22, 43.
    • (2004) Ecol. Eng. , vol.22 , pp. 43
    • Kirk, J.A.1    Wis, W.R.2    Delfino, J.J.3
  • 23
    • 40549091022 scopus 로고
    • Scientific and Technological Document Press, Beijing (in Chinese)
    • Li, F. (1992). Grey System Theory and Application. Scientific and Technological Document Press, Beijing (in Chinese).
    • (1992) Grey System Theory and Application
    • Li, F.1
  • 24
    • 0032486219 scopus 로고    scopus 로고
    • Estimation of rainfall storage capacity in the canopies of cypress wetlands and slash pine uplands in north-central Florida
    • Liu, S. (1998). Estimation of rainfall storage capacity in the canopies of cypress wetlands and slash pine uplands in north-central Florida. J. Hydrol. 207, 32.
    • (1998) J. Hydrol. , vol.207 , pp. 32
    • Liu, S.1
  • 25
    • 33750961618 scopus 로고    scopus 로고
    • Genetic programming for epileptic pattern recognition in electroencephalographic signals
    • Lopes, H.S. (2007). Genetic programming for epileptic pattern recognition in electroencephalographic signals. Appl. Soft Comput. 7, 343.
    • (2007) Appl. Soft Comput. , vol.7 , pp. 343
    • Lopes, H.S.1
  • 26
    • 40849130727 scopus 로고    scopus 로고
    • Short-term water storage forecasting with global climate change impli-cations -A comparative study between genetic programming and neural network models
    • Makkeasorn, A., Chang, N.B., and Zhou, X. (2008). Short-term water storage forecasting with global climate change impli-cations-A comparative study between genetic programming and neural network models. J. Hydrol. 352, 336.
    • (2008) J. Hydrol. , vol.352 , pp. 336
    • Makkeasorn, A.1    Chang, N.B.2    Zhou, X.3
  • 27
    • 27744586803 scopus 로고    scopus 로고
    • Genetic programming for analysis and real-time prediction of coastal algal blooms
    • Muttil, N., and Lee, J.H.W. (2005). Genetic programming for analysis and real-time prediction of coastal algal blooms. Ecol. Model. 189, 363.
    • (2005) Ecol. Model. , vol.189 , pp. 363
    • Muttil, N.1    Lee, J.H.W.2
  • 28
    • 0031209593 scopus 로고    scopus 로고
    • Determining the saliency of input variables in neural network classifiers
    • Nath, R., Rajagopalan, B., and Ryker, R. (1997). Determining the saliency of input variables in neural network classifiers. Comput. Oper. Res. 24, 767.
    • (1997) Comput. Oper. Res. , vol.24 , pp. 767
    • Nath, R.1    Rajagopalan, B.2    Ryker, R.3
  • 29
    • 14944371133 scopus 로고    scopus 로고
    • Rainfall-runoff model using an artificial neural network approach
    • Riad, S., Mania, J., Bouchaou, L., and Najjar, Y. (2004). Rainfall-runoff model using an artificial neural network approach. Math. Comput. Model. 40, 839.
    • (2004) Math. Comput. Model. , vol.40 , pp. 839
    • Riad, S.1    Mania, J.2    Bouchaou, L.3    Najjar, Y.4
  • 30
    • 27744500221 scopus 로고    scopus 로고
    • Application of Grey theory in the development of a runoff prediction model
    • Trivedi, H.V., and Singh, J.K. (2005). Application of Grey theory in the development of a runoff prediction model. Biosyst. Eng. 92, 521.
    • (2005) Biosyst. Eng. , vol.92 , pp. 521
    • Trivedi, H.V.1    Singh, J.K.2
  • 33
    • 0035105632 scopus 로고    scopus 로고
    • Modelling rainfall-runoff using genetic programming
    • Whigham, P.A., and Crapper, P.F. (2001). Modelling rainfall-runoff using genetic programming. Math. Comput. Model. 33, 707.
    • (2001) Math. Comput. Model. , vol.33 , pp. 707
    • Whigham, P.A.1    Crapper, P.F.2
  • 34
    • 0033019602 scopus 로고    scopus 로고
    • Short term water storage forecasting using artificial neural networks
    • Zealand, C.M., Burn, D.H., and Simonovic, S.P. (1999). Short term water storage forecasting using artificial neural networks. J. Hydrol. 214, 32.
    • (1999) J. Hydrol. , vol.214 , pp. 32
    • Zealand, C.M.1    Burn, D.H.2    Simonovic, S.P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.