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Volumn 5, Issue 1, 2013, Pages 56-62

Deformation Prediction of Landslide Based on Improved Back-propagation Neural Network

Author keywords

BPNN; Genetic algorithm; Landslide prediction; Simulated annealing algorithm

Indexed keywords

BACK-PROPAGATION NEURAL NETWORKS; BPNN; COMPLEX NONLINEAR RELATION; DEFORMATION PREDICTION; DYNAMIC PREDICTION; LANDSLIDE DEFORMATION; LANDSLIDE PREDICTION; LEARNING MODELS; LEARNING SPEED; SIMULATED ANNEALING ALGORITHMS; THREE GORGES RESERVOIR;

EID: 84874575432     PISSN: 18669956     EISSN: 18669964     Source Type: Journal    
DOI: 10.1007/s12559-012-9148-1     Document Type: Article
Times cited : (101)

References (28)
  • 2
    • 78649915724 scopus 로고    scopus 로고
    • A simple recurrent network for implicit learning of temporal sequences
    • Gluege S, Hamid OH, Wendemuth A. A simple recurrent network for implicit learning of temporal sequences. Cogn Comput. 2010; 2(4): 265-71.
    • (2010) Cogn Comput , vol.2 , Issue.4 , pp. 265-271
    • Gluege, S.1    Hamid, O.H.2    Wendemuth, A.3
  • 3
    • 78649936404 scopus 로고    scopus 로고
    • Multiclass pattern recognition extension for the new C-Mantec constructive neural network algorithm
    • Subirats JL, Jerez JM, Gomez I. Multiclass pattern recognition extension for the new C-Mantec constructive neural network algorithm. Cogn Comput. 2010; 2(4): 285-90.
    • (2010) Cogn Comput , vol.2 , Issue.4 , pp. 285-290
    • Subirats, J.L.1    Jerez, J.M.2    Gomez, I.3
  • 4
    • 78649958690 scopus 로고    scopus 로고
    • A position identification and path labelling mechanism for a neural model of visual awareness
    • Rao S, Aleksander I. A position identification and path labelling mechanism for a neural model of visual awareness. Cogn Comput. 2010; 2(4): 360-72.
    • (2010) Cogn Comput , vol.2 , Issue.4 , pp. 360-372
    • Rao, S.1    Aleksander, I.2
  • 5
    • 77957775251 scopus 로고    scopus 로고
    • Artificial cognitive systems: from VLSI networks of spiking neurons to neuromorphic cognition
    • Indiveri G, Chicca E, Douglas RJ. Artificial cognitive systems: from VLSI networks of spiking neurons to neuromorphic cognition. Cogn Comput. 2009; 1(2): 119-27.
    • (2009) Cogn Comput , vol.1 , Issue.2 , pp. 119-127
    • Indiveri, G.1    Chicca, E.2    Douglas, R.J.3
  • 6
    • 78049529748 scopus 로고    scopus 로고
    • Recruitment and consolidation of cell assemblies for words by way of Hebbian learning and competition in a multi-layer neural network
    • Garagnani M, Wennekers T, Pulvermueller F. Recruitment and consolidation of cell assemblies for words by way of Hebbian learning and competition in a multi-layer neural network. Cogn Comput. 2009; 1(2): 160-76.
    • (2009) Cogn Comput , vol.1 , Issue.2 , pp. 160-176
    • Garagnani, M.1    Wennekers, T.2    Pulvermueller, F.3
  • 7
    • 77549088295 scopus 로고    scopus 로고
    • The role of associative processing in cognitive computing
    • Haikonen POA. The role of associative processing in cognitive computing. Cogn Comput. 2009; 1(1): 42-9.
    • (2009) Cogn Comput , vol.1 , Issue.1 , pp. 42-49
    • Haikonen, P.O.A.1
  • 8
    • 67651228771 scopus 로고    scopus 로고
    • Cognitive computation with autonomously active neural networks: an emerging field
    • Gros C. Cognitive computation with autonomously active neural networks: an emerging field. Cogn Comput. 2009; 1(1): 77-90.
    • (2009) Cogn Comput , vol.1 , Issue.1 , pp. 77-90
    • Gros, C.1
  • 9
    • 38149109867 scopus 로고    scopus 로고
    • Artificial neural networks and cluster analysis in landslide susceptibility zonation
    • Melchiorre C, Matteucci M, Azzoni A, Zanchi A. Artificial neural networks and cluster analysis in landslide susceptibility zonation. Geomorphology. 2008; 94: 379-400.
    • (2008) Geomorphology , vol.94 , pp. 379-400
    • Melchiorre, C.1    Matteucci, M.2    Azzoni, A.3    Zanchi, A.4
  • 10
    • 77149157821 scopus 로고    scopus 로고
    • Regional landslide susceptibility analysis using back-propagation neural network model at Cameron Highland, Malaysia
    • Pradhan B, Lee S. Regional landslide susceptibility analysis using back-propagation neural network model at Cameron Highland, Malaysia. Landslide. 2010; 7: 13-30.
    • (2010) Landslide , vol.7 , pp. 13-30
    • Pradhan, B.1    Lee, S.2
  • 11
    • 36849021068 scopus 로고    scopus 로고
    • Landslide susceptibility analysis and its verification using likelihood ratio, logistic regression, and artificial neural network models: case study of Youngin, Korea
    • Lee S, Ryu JH, Kim IS. Landslide susceptibility analysis and its verification using likelihood ratio, logistic regression, and artificial neural network models: case study of Youngin, Korea. Landslides. 2007; 4: 327-38.
    • (2007) Landslides , vol.4 , pp. 327-338
    • Lee, S.1    Ryu, J.H.2    Kim, I.S.3
  • 12
    • 76749088419 scopus 로고    scopus 로고
    • Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modeling
    • Pradhan B, Lee S. Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modeling. Environ Model Softw. 2010; 25: 747-59.
    • (2010) Environ Model Softw , vol.25 , pp. 747-759
    • Pradhan, B.1    Lee, S.2
  • 13
    • 3042850464 scopus 로고    scopus 로고
    • Study on displacement predication of landslide based on grey system and evolutionary neural network
    • Gao W, Feng X. Study on displacement predication of landslide based on grey system and evolutionary neural network. Rock Soil Mech. 2004; 25(4): 514-7.
    • (2004) Rock Soil Mech , vol.25 , Issue.4 , pp. 514-517
    • Gao, W.1    Feng, X.2
  • 14
    • 3042680664 scopus 로고    scopus 로고
    • Use of backpropagation neural network for landslide monitoring: a case study in the higher Himalaya
    • Neaupane KM, Achet SH. Use of backpropagation neural network for landslide monitoring: a case study in the higher Himalaya. Eng Geol. 2004; 74: 213-26.
    • (2004) Eng Geol , vol.74 , pp. 213-226
    • Neaupane, K.M.1    Achet, S.H.2
  • 16
    • 0026953305 scopus 로고
    • Improving generalization using double back propagation
    • Ducker H, Cuny YL. Improving generalization using double back propagation. IEEE Trans Neural Netw. 1992; 3(6): 991-7.
    • (1992) IEEE Trans Neural Netw , vol.3 , Issue.6 , pp. 991-997
    • Ducker, H.1    Cuny, Y.L.2
  • 17
    • 15744395274 scopus 로고    scopus 로고
    • Neural networks for slope movement prediction
    • Mayoraz F, Vulliet L. Neural networks for slope movement prediction. Int J Geomech. 2002; 2(2): 153-73.
    • (2002) Int J Geomech , vol.2 , Issue.2 , pp. 153-173
    • Mayoraz, F.1    Vulliet, L.2
  • 18
    • 27444435681 scopus 로고    scopus 로고
    • Prediction of coefficient of lateral earth pressure using artificial neural networks
    • Das SK, Basudhar PK. Prediction of coefficient of lateral earth pressure using artificial neural networks. Bundle A Electron J Geotech Eng. 2005; 10.
    • (2005) Bundle A Electron J Geotech Eng. , pp. 10
    • Das, S.K.1    Basudhar, P.K.2
  • 20
    • 0037367056 scopus 로고    scopus 로고
    • A back propagation algorithm to estimate the parameters of non-linear dynamic rational models
    • Zhu QM. A back propagation algorithm to estimate the parameters of non-linear dynamic rational models. Appl Math Model. 2003; 27: 169-87.
    • (2003) Appl Math Model , vol.27 , pp. 169-187
    • Zhu, Q.M.1
  • 21
    • 0035863544 scopus 로고    scopus 로고
    • Using genetic algorithms to select architecture of a feed forward artificial neural network
    • Arifovic J, Gencay R. Using genetic algorithms to select architecture of a feed forward artificial neural network. Phys A. 2001; 289: 574-94.
    • (2001) Phys A , vol.289 , pp. 574-594
    • Arifovic, J.1    Gencay, R.2
  • 22
    • 2042510997 scopus 로고    scopus 로고
    • Evolving the neural network model for forecasting air pollution time series
    • Harri N, Teri H, et al. Evolving the neural network model for forecasting air pollution time series. Eng Appl Artif Intell. 2004; 17: 159-67.
    • (2004) Eng Appl Artif Intell , vol.17 , pp. 159-167
    • Harri, N.1    Teri, H.2
  • 23
    • 33847281811 scopus 로고    scopus 로고
    • A GA-based NN approach for makespan estimation
    • Li SJ, Li Y. A GA-based NN approach for makespan estimation. Appl Math Comput. 2007; 185: 1003-14.
    • (2007) Appl Math Comput , vol.185 , pp. 1003-1014
    • Li, S.J.1    Li, Y.2
  • 26
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • Hornik KM, Stinchcombe M, White H. Multilayer feedforward networks are universal approximators. Neural Netw. 1989; 2: 359-66.
    • (1989) Neural Netw , vol.2 , pp. 359-366
    • Hornik, K.M.1    Stinchcombe, M.2    White, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.