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Volumn 179 CCIS, Issue PART 1, 2011, Pages 365-379

Intelligent decision support model based on neural network to support reservoir water release decision

Author keywords

Emergency Management; Forecasting; Intelligent Decision Support System; Neural Network

Indexed keywords

DECISION MODELS; EMERGENCY MANAGEMENT; FLOOD RISKS; FORECASTING MODELS; HEAVY RAINFALL; INTELLIGENT DECISION SUPPORT; INTELLIGENT DECISION SUPPORT SYSTEMS; RESERVOIR OPERATION; RESERVOIR WATER; RESERVOIR WATER LEVEL; SITUATION ASSESSMENT; TEMPORAL DATA MINING; WATER RELEASE;

EID: 79960354050     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-22170-5_32     Document Type: Conference Paper
Times cited : (8)

References (33)
  • 1
    • 25144440494 scopus 로고    scopus 로고
    • A Dynamic, Data-Driven, Decision Support System for Emergency Medical Services
    • Sunderam, V.S., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds.) ICCS 2005. Springer, Heidelberg
    • Gaynor, M., Seltzer, M., Moulton, S., Freedman, J.: A Dynamic, Data-Driven, Decision Support System for Emergency Medical Services. In: Sunderam, V.S., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds.) ICCS 2005. LNCS, vol. 3515, pp. 703-711. Springer, Heidelberg (2005)
    • (2005) LNCS , vol.3515 , pp. 703-711
    • Gaynor, M.1    Seltzer, M.2    Moulton, S.3    Freedman, J.4
  • 5
    • 0033185164 scopus 로고    scopus 로고
    • Decision support system for flood management in the Red River Basin
    • Simonovic, S.P.: Decision support system for flood management in the Red River Basin. Canadian Water Resources Journal 24(3), 203-223 (1999)
    • (1999) Canadian Water Resources Journal , vol.24 , Issue.3 , pp. 203-223
    • Simonovic, S.P.1
  • 7
    • 79960368601 scopus 로고    scopus 로고
    • Reservoir Operation
    • Jain, S.K., Singh, V.P. (eds.) ch.11, El-sevier B. V, Amsterdam
    • Jain, S.K., Singh, V.P.: Reservoir Operation. In: Jain, S.K., Singh, V.P. (eds.) Water Resources Systems Planning & Management, ch.11, vol. 51, pp. 615-679. El-sevier B. V, Amsterdam (2003)
    • (2003) Water Resources Systems Planning & Management , vol.51 , pp. 615-679
    • Jain, S.K.1    Singh, V.P.2
  • 9
    • 79960356325 scopus 로고    scopus 로고
    • International Federation of Red Cross and Red Crescent Societies
    • IFRC Annual Report 2007. International Federation of Red Cross and Red Crescent Societies (2007)
    • (2007) IFRC Annual Report 2007
  • 11
    • 79960354531 scopus 로고    scopus 로고
    • Federal Emergency Management Agency Federal Emergency Management Agency, U.S. Department of Home-land Security
    • Federal Emergency Management Agency. Flood Insurance: The Right Choice: NFIP Fact Sheet 2008. Federal Emergency Management Agency, U.S. Department of Home-land Security (2008)
    • (2008) Flood Insurance: The Right Choice: NFIP Fact Sheet 2008
  • 14
    • 79960352267 scopus 로고    scopus 로고
    • Technical Support Unit. Integrated Flood Management. 2nd, The Associated Programme on Flood Management
    • Technical Support Unit. Integrated Flood Management. APFM Technical Document No. 1 (2nd), The Associated Programme on Flood Management. (2004)
    • (2004) APFM Technical Document No. 1
  • 16
    • 17444380579 scopus 로고    scopus 로고
    • The Role of the Corbara Reservoir on the Tiber River in the Flood Protection of the Town of Rome, Italy
    • Brookshie, P.A. (ed.) ASCE Research Library
    • Calenda, G., Mancini, C.P.: The Role of the Corbara Reservoir on the Tiber River in the Flood Protection of the Town of Rome, Italy. In: Brookshie, P.A. (ed.) Proceedings of Waterpower Conference, ASCE Research Library (1999)
    • (1999) Proceedings of Waterpower Conference
    • Calenda, G.1    Mancini, C.P.2
  • 20
    • 0035472003 scopus 로고    scopus 로고
    • River flow time series prediction with a range-dependent neural network
    • Hu, T.S., Lam, K.C., Ng, S.T.: River flow time series prediction with a range-dependent neural network. Hydrohgical Sciences 46(5), 729-745 (2001)
    • (2001) Hydrohgical Sciences , vol.46 , Issue.5 , pp. 729-745
    • Hu, T.S.1    Lam, K.C.2    Ng, S.T.3
  • 22
    • 0035340711 scopus 로고    scopus 로고
    • A Counterpropagation Fuzzy-Neural Network Modeling Approach to Real Time Streamflow Prediction
    • Chang, F.-J., Chen, Y.-C.: A Counterpropagation Fuzzy-Neural Network Modeling Approach to Real Time Streamflow Prediction. Journal of Hydrology 245, 153-164 (2001)
    • (2001) Journal of Hydrology , vol.245 , pp. 153-164
    • Chang, F.-J.1    Chen, Y.-C.2
  • 23
    • 1642497522 scopus 로고    scopus 로고
    • River Flow Modeling Using Artificial Neural Networks
    • Kisi, O.: River Flow Modeling Using Artificial Neural Networks. Journal of Hydrologic Engineering 9(1), 60-63 (2004)
    • (2004) Journal of Hydrologic Engineering , vol.9 , Issue.1 , pp. 60-63
    • Kisi, O.1
  • 24
    • 0034621379 scopus 로고    scopus 로고
    • Daily reservoir inflow forecasting using artificial neural networks with stopped training approach
    • Coulibaly, P., Anctil, F., Bobee, B.: Daily reservoir inflow forecasting using artificial neural networks with stopped training approach. Journal of Hydrology 230, 244-257 (2000)
    • (2000) Journal of Hydrology , vol.230 , pp. 244-257
    • Coulibaly, P.1    Anctil, F.2    Bobee, B.3
  • 25
    • 0035450182 scopus 로고    scopus 로고
    • Multivariate Reservoir Inflow Forecasting using Temporal Neural Networks
    • Coulibaly, P., Anctil, F., Bobee, B.: Multivariate Reservoir Inflow Forecasting using Temporal Neural Networks. Journal of Hydrologic Engineering 6(5), 367-376 (2001)
    • (2001) Journal of Hydrologic Engineering , vol.6 , Issue.5 , pp. 367-376
    • Coulibaly, P.1    Anctil, F.2    Bobee, B.3
  • 26
    • 28444489651 scopus 로고    scopus 로고
    • Adaptive Neuro-Fuzzy Inference System for Prediction of Water Level in Reservoir
    • Chang, F.-J., Chang, Y.-T.: Adaptive Neuro-Fuzzy Inference System for Prediction of Water Level in Reservoir. Advances in Water Resources 29, 1-10 (2006)
    • (2006) Advances in Water Resources , vol.29 , pp. 1-10
    • Chang, F.-J.1    Chang, Y.-T.2
  • 28
    • 10244261532 scopus 로고    scopus 로고
    • M5 Model Trees and Neural Networks: Application to Flood Forecasting in the Upper Reach of the Huai River in China
    • Solomatine, D.P., Xue, Y.: M5 Model Trees and Neural Networks: Application to Flood Forecasting in the Upper Reach of the Huai River in China. Journal of Hydrologic Engineering 9(6), 1-10 (2004)
    • (2004) Journal of Hydrologic Engineering , vol.9 , Issue.6 , pp. 1-10
    • Solomatine, D.P.1    Xue, Y.2
  • 30
    • 43649092022 scopus 로고    scopus 로고
    • Intelligent Reservoir Operation System Based on Evolving Artificial Neural Networks
    • Chaves, P., Chang, F.-J.: Intelligent Reservoir Operation System Based on Evolving Artificial Neural Networks. Advances in Water Resources 31, 926-936 (2008)
    • (2008) Advances in Water Resources , vol.31 , pp. 926-936
    • Chaves, P.1    Chang, F.-J.2
  • 32
    • 85024325402 scopus 로고
    • Assessments of neural network output codings for classification of multispectral images using Hamming distance measure
    • Chong, C.C., Jia, J.C.: Assessments of neural network output codings for classification of multispectral images using Hamming distance measure. In: Proceedings of the 12th IAPR International Conference on Pattern Recognition, vol. 2, pp. 526-528 (1994)
    • (1994) Proceedings of the 12th IAPR International Conference on Pattern Recognition , vol.2 , pp. 526-528
    • Chong, C.C.1    Jia, J.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.