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Volumn 2, Issue 2, 2012, Pages 202-218

Groundwater level forecasting using SVM-PSO

Author keywords

Adaptive neuro fuzzy inference system; ANFIS; ANN; ARMA; Artificial neural networks; Autoregressive moving average model; Gorecasting; Groundwater level; Particle swarm optimization; PSO; Support vector machines; SVMs

Indexed keywords


EID: 84875904306     PISSN: 20427808     EISSN: 20427816     Source Type: Journal    
DOI: 10.1504/IJHST.2012.047432     Document Type: Article
Times cited : (19)

References (34)
  • 1
    • 31044438334 scopus 로고    scopus 로고
    • Multi-time scale stream flow predictions: The support vector machines approach
    • Asefa, T., Kemblowski, M., McKee, M. and Khalil, A. (2006) 'Multi-time scale stream flow predictions: the support vector machines approach', Journal of Hydrology, Vol. 318, Nos. 1-4, pp.7-16.
    • (2006) Journal of Hydrology , vol.318 , Issue.1-4 , pp. 7-16
    • Asefa, T.1    Kemblowski, M.2    McKee, M.3    Khalil, A.4
  • 2
    • 78049464373 scopus 로고    scopus 로고
    • Modeling uncertainty analysis in flow and solute transport model using adaptive neuro fuzzy inference system and particle swarm optimization
    • Ch, S. and Mathur, S. (2010) 'Modeling uncertainty analysis in flow and solute transport model using adaptive neuro fuzzy inference system and particle swarm optimization', KSCE Journal of Civil Engineering, Vol. 14, No. 6, pp.941-951.
    • (2010) KSCE Journal of Civil Engineering , vol.14 , Issue.6 , pp. 941-951
    • Ch, S.1    Mathur, S.2
  • 3
    • 33748929857 scopus 로고    scopus 로고
    • Particle swarm optimization training algorithm for ANNs in stage prediction of Shing Mun river
    • Chau, K. (2006) 'Particle swarm optimization training algorithm for ANNs in stage prediction of Shing Mun river', Journal of Hydrology, Vol. 329, Nos. 3-4, pp.363-367.
    • (2006) Journal of Hydrology , vol.329 , Issue.3-4 , pp. 363-367
    • Chau, K.1
  • 4
    • 78049358493 scopus 로고    scopus 로고
    • A hybrid model coupled with singular spectrum analysis for daily rainfall prediction
    • Chau, K. and Wu, C. (2010) 'A hybrid model coupled with singular spectrum analysis for daily rainfall prediction', Journal of Hydroinformatics, Vol. 12, No. 4, pp.458-473.
    • (2010) Journal of Hydroinformatics , vol.12 , Issue.4 , pp. 458-473
    • Chau, K.1    Wu, C.2
  • 5
    • 24944573867 scopus 로고    scopus 로고
    • Long-term prediction of discharges in Manwan Reservoir using artificial neural network models
    • 2005
    • Cheng, C., Chau, K., Sun, Y. and Lin, J. (2005) 'Long-term prediction of discharges in Manwan Reservoir using artificial neural network models', Lecture notes in Computer Science, Vol. 3498/2005, pp.1040-1045.
    • (2005) Lecture Notes in Computer Science , vol.3498 , pp. 1040-1045
    • Cheng, C.1    Chau, K.2    Sun, Y.3    Lin, J.4
  • 6
    • 0036845179 scopus 로고    scopus 로고
    • Combining a fuzzy optimal model with a genetic algorithm to solve multi-objective rainfall-runoff model calibration
    • Cheng, C., Ou, C. and Chau, K. (2002) 'Combining a fuzzy optimal model with a genetic algorithm to solve multi-objective rainfall-runoff model calibration', Journal of Hydrology, Vol. 268, Nos. 1-4, pp.72-86.
    • (2002) Journal of Hydrology , vol.268 , Issue.1-4 , pp. 72-86
    • Cheng, C.1    Ou, C.2    Chau, K.3
  • 7
    • 28544440088 scopus 로고    scopus 로고
    • Multiple criteria rainfall-runoff model calibration using a parallel genetic algorithm in a cluster of computers
    • Cheng, C., Wu, X. and Chau, K. (2005) 'Multiple criteria rainfall-runoff model calibration using a parallel genetic algorithm in a cluster of computers', Hydrological Sciences Journal, Vol. 50, No. 6, pp.1069-1087.
    • (2005) Hydrological Sciences Journal , vol.50 , Issue.6 , pp. 1069-1087
    • Cheng, C.1    Wu, X.2    Chau, K.3
  • 8
    • 1642578192 scopus 로고    scopus 로고
    • Modelling of river discharges and rainfall using radial basis function networks based on support vector regression
    • Choy, K. and Chan, C. (2003) 'Modelling of river discharges and rainfall using radial basis function networks based on support vector regression', International Journal of Systems Science, Vol. 34, No. 1, pp.763-773.
    • (2003) International Journal of Systems Science , vol.34 , Issue.1 , pp. 763-773
    • Choy, K.1    Chan, C.2
  • 9
    • 34249753618 scopus 로고
    • Support-vector networks
    • Cortes, C. and Vapnik, V. (1995) 'Support-vector networks', Machine Learning, Vol. 20, No. 3, pp.273-297.
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 10
    • 72449153929 scopus 로고    scopus 로고
    • PVT correlations of Indian crude using support vector regression
    • Dutta, S. and Gupta, J. (2009) 'PVT correlations of Indian crude using support vector regression', Energy & Fuels, Vol. 23, No. 11, pp.5483-5490.
    • (2009) Energy & Fuels , vol.23 , Issue.11 , pp. 5483-5490
    • Dutta, S.1    Gupta, J.2
  • 11
    • 84887616039 scopus 로고    scopus 로고
    • Study on damage diagnosis of beam-like structures by support vector regression
    • Guang, L. (2006) 'Study on damage diagnosis of beam-like structures by support vector regression', Journal of Vibration and Shock, Vol. 3, pp.13-25.
    • (2006) Journal of Vibration and Shock , vol.3 , pp. 13-25
    • Guang, L.1
  • 13
    • 0037340658 scopus 로고    scopus 로고
    • Comparative analysis of event-based rainfall-runoff modeling techniques-deterministic', Statistical, and Artificial Neural Networks
    • Jain, A. and Indurthy, S. (2003) 'Comparative analysis of event-based rainfall-runoff modeling techniques-deterministic', Statistical, and Artificial Neural Networks, Journal of Hydrologic Engineering, Vol. 8, No. 93, pp.93-98.
    • (2003) Journal of Hydrologic Engineering , vol.8 , Issue.93 , pp. 93-98
    • Jain, A.1    Indurthy, S.2
  • 14
    • 0027601884 scopus 로고
    • ANFIS: Adaptive-network-based fuzzy inference system
    • Jang, J. (1993) 'ANFIS: adaptive-network-based fuzzy inference system', Systems, Man and Cybernetics, IEEE Transactions on, Vol. 23, No. 3, pp.665-685.
    • (1993) Systems, Man and Cybernetics, IEEE Transactions on , vol.23 , Issue.3 , pp. 665-685
    • Jang, J.1
  • 15
    • 10944222348 scopus 로고    scopus 로고
    • Use of soft information to describe the relative uncertainty of calibration data in hydrologic models
    • Khadam, I. and Kaluarachchi, J. (2004) 'Use of soft information to describe the relative uncertainty of calibration data in hydrologic models', Water Resources Research, Vol. 40, No. 11, W11505, available at http://dx.doi.org/10.1029/2003WR002939.
    • (2004) Water Resources Research , vol.40 , Issue.11
    • Khadam, I.1    Kaluarachchi, J.2
  • 16
    • 42149163573 scopus 로고    scopus 로고
    • Modelling groundwater levels in an urban coastal aquifer using artificial neural networks
    • Krishna, B., Rao, Y.S. and Vijaya, T. (2008) 'Modelling groundwater levels in an urban coastal aquifer using artificial neural networks', Hydrological Processes, Vol. 22, No. 8, pp.1180-1188.
    • (2008) Hydrological Processes , vol.22 , Issue.8 , pp. 1180-1188
    • Krishna, B.1    Rao, Y.S.2    Vijaya, T.3
  • 17
    • 33746830757 scopus 로고    scopus 로고
    • Using support vector machines for long-term discharge prediction
    • Lin, J., Cheng, C. and Chau, K. (2006) 'Using support vector machines for long-term discharge prediction', Hydrological Sciences Journal, Vol. 51, No. 4, pp.599-612.
    • (2006) Hydrological Sciences Journal , vol.51 , Issue.4 , pp. 599-612
    • Lin, J.1    Cheng, C.2    Chau, K.3
  • 18
    • 6344260137 scopus 로고    scopus 로고
    • Application of support vector machines based on time sequence in power system load forecasting
    • Lin, Z., Xianshan, L. and Hejun, Y. (2004) Application of Support Vector Machines Based on Time Sequence in Power System Load Forecasting, Power System Technology-Beijing, Vol. 28, No. 19, pp.38-41.
    • (2004) Power System Technology-Beijing , vol.28 , Issue.19 , pp. 38-41
    • Lin, Z.1    Xianshan, L.2    Hejun, Y.3
  • 20
    • 33845384467 scopus 로고    scopus 로고
    • Neural network and genetic programming for modelling coastal algal blooms
    • Muttil, N. and Chau, K. (2006) 'Neural network and genetic programming for modelling coastal algal blooms', International Journal of Environment and Pollution, Vol. 28, No. 3, pp.223-238.
    • (2006) International Journal of Environment and Pollution , vol.28 , Issue.3 , pp. 223-238
    • Muttil, N.1    Chau, K.2
  • 21
    • 32044458602 scopus 로고    scopus 로고
    • Groundwater level forecasting in a shallow aquifer using artificial neural network approach
    • Nayak, P., Rao, Y. and Sudheer, K. (2006) 'Groundwater level forecasting in a shallow aquifer using artificial neural network approach', Water Resources Management, Vol. 20, No. 1, pp.77-90.
    • (2006) Water Resources Management , vol.20 , Issue.1 , pp. 77-90
    • Nayak, P.1    Rao, Y.2    Sudheer, K.3
  • 22
    • 84875877927 scopus 로고    scopus 로고
    • Guntur District, Andhra Pradesh, Tech. rep., Central Ground Water Board Ministry of Water Resources Government of India, August
    • Prabhakar, C.P. (2007) 'Ground water information', Guntur District, Andhra Pradesh, Tech. rep., Central Ground Water Board Ministry of Water Resources Government of India, August.
    • (2007) Ground Water Information
    • Prabhakar, C.P.1
  • 25
    • 85006941509 scopus 로고    scopus 로고
    • Rainfall and runoff forecasting with SSA-SVM approach
    • Sivapragasam, C., Liong, S. and Pasha, M. (2001) 'Rainfall and runoff forecasting with SSA-SVM approach', Journal of Hydroinformatics, Vol. 3, No. 3, pp.141-152.
    • (2001) Journal of Hydroinformatics , vol.3 , Issue.3 , pp. 141-152
    • Sivapragasam, C.1    Liong, S.2    Pasha, M.3
  • 26
    • 33644636765 scopus 로고    scopus 로고
    • A comparative analysis of training methods for artificial neural network rainfall-runoff models
    • Srinivasulu, S. and Jain, A. (2006) 'A comparative analysis of training methods for artificial neural network rainfall-runoff models', Applied Soft Computing Journal, Vol. 6, No. 3, pp.295-306.
    • (2006) Applied Soft Computing Journal , vol.6 , Issue.3 , pp. 295-306
    • Srinivasulu, S.1    Jain, A.2
  • 27
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its applications to modeling and control
    • Takagi, T. and Sugeno, M. (1985) 'Fuzzy identification of systems and its applications to modeling and control', IEEE Transactions on Systems, Man, and Cybernetics, Vol. 15, No. 1, pp.116-132.
    • (1985) IEEE Transactions on Systems, Man, and Cybernetics , vol.15 , Issue.1 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 28
    • 84981756619 scopus 로고
    • The relationship between the lowering of the piezometric surface and the rate and duration of discharge of a well using ground-water storage
    • Theis, C.V. (1935) 'The relationship between the lowering of the piezometric surface and the rate and duration of discharge of a well using ground-water storage', Transactions American Geophysical Union, Vol. 16, pp.519-524.
    • (1935) Transactions American Geophysical Union , vol.16 , pp. 519-524
    • Theis, C.V.1
  • 29
    • 68349105875 scopus 로고    scopus 로고
    • A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series
    • Wang, W., Chau, K., Cheng, C. and Qiu, L. (2009) 'A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series', Journal of Hydrology, Vol. 374, Nos. 3-4, pp.294-306.
    • (2009) Journal of Hydrology , vol.374 , Issue.3-4 , pp. 294-306
    • Wang, W.1    Chau, K.2    Cheng, C.3    Qiu, L.4
  • 30
    • 47949121319 scopus 로고    scopus 로고
    • River stage prediction based on a distributed support vector regression
    • Wu, C., Chau, K. and Li, Y. (2008) 'River stage prediction based on a distributed support vector regression', Journal of Hydrology, Vol. 358, Nos. 1-2, pp.96-111.
    • (2008) Journal of Hydrology , vol.358 , Issue.1-2 , pp. 96-111
    • Wu, C.1    Chau, K.2    Li, Y.3
  • 31
    • 70349777454 scopus 로고    scopus 로고
    • Predicting monthly streamflow using data-driven models coupled with data-preprocessing techniques
    • Wu, C., Chau, K. and Li, Y. (2009) 'Predicting monthly streamflow using data-driven models coupled with data-preprocessing techniques', Water Resources Research, Vol. 45, W08432.
    • (2009) Water Resources Research , vol.45
    • Wu, C.1    Chau, K.2    Li, Y.3
  • 32
    • 33746916489 scopus 로고    scopus 로고
    • Support vector regression for real-time flood stage forecasting
    • Yu, P., Chen, S. and Chang, I. (2006) 'Support vector regression for real-time flood stage forecasting', Journal of Hydrology, Vol. 328, Nos. 3-4, pp.704-716.
    • (2006) Journal of Hydrology , vol.328 , Issue.3-4 , pp. 704-716
    • Yu, P.1    Chen, S.2    Chang, I.3
  • 34
    • 84919454581 scopus 로고    scopus 로고
    • EC-SVM approach for real-time hydrologic forecasting
    • Yu, X., Liong, S. and Babovic, V. (2004) 'EC-SVM approach for real-time hydrologic forecasting', Journal of Hydroinformatics, Vol. 6, No. 3, pp.209-223.
    • (2004) Journal of Hydroinformatics , vol.6 , Issue.3 , pp. 209-223
    • Yu, X.1    Liong, S.2    Babovic, V.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.