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Volumn 258, Issue , 2008, Pages 223-230

Soil water content forecasting by support vector machine in purple hilly region

Author keywords

Forecasting; Prediction; Soil water content; Statistical learning; Support vector machines; Time series

Indexed keywords

FORECASTING; SCHEDULING; SOIL MOISTURE; SOILS; TIME SERIES; TIME SERIES ANALYSIS; VECTORS; WATER SUPPLY SYSTEMS; AGRICULTURE;

EID: 40449106730     PISSN: 15715736     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-0-387-77251-6_25     Document Type: Conference Paper
Times cited : (17)

References (14)
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    • Baghdadi N, Gaultier S, King C. Retrieving Surface Roughness and Soil Moisture From Synthetic Aperture Radar (SAR) Data Using Neural Networks. Canadian Journal of Remote Sensing, 2002, 5: 701-711
    • (2002) Canadian Journal of Remote Sensing , vol.5 , pp. 701-711
    • Baghdadi, N.1    Gaultier, S.2    King, C.3
  • 2
    • 0035533512 scopus 로고    scopus 로고
    • Cao L J, Tay F E H. Financial forecasting using support vector machines. Neural Comput. 2001, Appl(10): 184-182
    • Cao L J, Tay F E H. Financial forecasting using support vector machines. Neural Comput. 2001, Appl(10): 184-182
  • 3
    • 0036160859 scopus 로고    scopus 로고
    • Efficient SVM regression training with SMO
    • Flake G, Lawrence S. Efficient SVM regression training with SMO. Machine Learning. 2002, 1/3: 271-290
    • (2002) Machine Learning , vol.1-3 , pp. 271-290
    • Flake, G.1    Lawrence, S.2
  • 4
    • 0035446304 scopus 로고    scopus 로고
    • Retrieving Soil Moisture From Simulated Brightness Temperature by a Neural Network
    • Liou Y A, Liu S F, Wang W J. Retrieving Soil Moisture From Simulated Brightness Temperature by a Neural Network, IEEE Transactions on Geoscience Remote Sensing, 2001, 8: 1662-1672
    • (2001) IEEE Transactions on Geoscience Remote Sensing , vol.8 , pp. 1662-1672
    • Liou, Y.A.1    Liu, S.F.2    Wang, W.J.3
  • 5
    • 40449121343 scopus 로고    scopus 로고
    • Comparison of autoregression and neural network models for soil water content forecasting
    • in Chinese
    • Liu H B, Wu W, Wei C F, Xie D T. Comparison of autoregression and neural network models for soil water content forecasting, Transactions of the CSAE, Vol. 19, No. 4, 2003, pp. 33-36 (in Chinese)
    • (2003) Transactions of the CSAE , vol.19 , Issue.4 , pp. 33-36
    • Liu, H.B.1    Wu, W.2    Wei, C.F.3    Xie, D.T.4
  • 6
    • 34247869527 scopus 로고    scopus 로고
    • Soil water dynamics simulation by autoregression models
    • in Chinese
    • Liu H B, Wu W, Wei C F, Xie D T. Soil water dynamics simulation by autoregression models, Journal of Mountain Science, 2004, 1: 121-125 (in Chinese)
    • (2004) Journal of Mountain Science , vol.1 , pp. 121-125
    • Liu, H.B.1    Wu, W.2    Wei, C.F.3    Xie, D.T.4
  • 8
    • 0031375732 scopus 로고    scopus 로고
    • Mukherjee S, Osuna E, Girosi F. Nonlinear prediction of chaotic time series using support vector machine. In: NNSP'97: Neural Networks for Signal Processing VII: Proceedings of the IEEE Signal Processing Society Workshop, Amelia Island, FL, USA. 1997, 243-254
    • Mukherjee S, Osuna E, Girosi F. Nonlinear prediction of chaotic time series using support vector machine. In: NNSP'97: Neural Networks for Signal Processing VII: Proceedings of the IEEE Signal Processing Society Workshop, Amelia Island, FL, USA. 1997, 243-254
  • 14
    • 0037243071 scopus 로고    scopus 로고
    • Time series forecasting using a hybrid ARIMA and neural network model
    • Zhang G P. Time series forecasting using a hybrid ARIMA and neural network model. Neurocomputing. 2003, 50: 159-175
    • (2003) Neurocomputing , vol.50 , pp. 159-175
    • Zhang, G.P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.