메뉴 건너뛰기




Volumn 149, Issue Part A, 2015, Pages 151-157

Deformation prediction of landslide based on functional network

Author keywords

Associativity; Back propagation neural network; Functional networks; Landslide prediction; Separable; Training data set

Indexed keywords

BACKPROPAGATION; LANDSLIDES; NEURAL NETWORKS; TORSIONAL STRESS;

EID: 85027940024     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2013.10.044     Document Type: Article
Times cited : (34)

References (32)
  • 2
    • 0036143125 scopus 로고    scopus 로고
    • A nonlinear dynamical model of landslide evolution
    • Qin S.Q., Jiao J.J., Wang S.J. A nonlinear dynamical model of landslide evolution. Geomorphology 2002, 43:77-85.
    • (2002) Geomorphology , vol.43 , pp. 77-85
    • Qin, S.Q.1    Jiao, J.J.2    Wang, S.J.3
  • 3
    • 77951976387 scopus 로고    scopus 로고
    • Susceptibility analysis of shallow landslides source areas using physically based models
    • Sorbino G., Sica C., Cascini L. Susceptibility analysis of shallow landslides source areas using physically based models. Nat. Hazards Rev. 2010, 53:313-332.
    • (2010) Nat. Hazards Rev. , vol.53 , pp. 313-332
    • Sorbino, G.1    Sica, C.2    Cascini, L.3
  • 4
    • 80255137525 scopus 로고    scopus 로고
    • Combining neural network with fuzzy, certainty factor and likelihood ratio concepts for spatial prediction of landslides
    • Kanungo D.P., Sarkar S., Sharma S. Combining neural network with fuzzy, certainty factor and likelihood ratio concepts for spatial prediction of landslides. Nat. Hazards Rev. 2011, 59(3):1491-1512.
    • (2011) Nat. Hazards Rev. , vol.59 , Issue.3 , pp. 1491-1512
    • Kanungo, D.P.1    Sarkar, S.2    Sharma, S.3
  • 5
    • 84862802588 scopus 로고    scopus 로고
    • Nonlinear time series modeling and prediction using functional weights wavelet neural network-based state-dependent AR model
    • Inoussa G., Peng H., Wu J. Nonlinear time series modeling and prediction using functional weights wavelet neural network-based state-dependent AR model. Neurocomputing 2012, 86(1):59-74.
    • (2012) Neurocomputing , vol.86 , Issue.1 , pp. 59-74
    • Inoussa, G.1    Peng, H.2    Wu, J.3
  • 6
    • 84867889198 scopus 로고    scopus 로고
    • A novel self-organizing complex neuro-fuzzy approach problem of time series forecasting
    • Li C., Chiang T.W., Yeh L.C. A novel self-organizing complex neuro-fuzzy approach problem of time series forecasting. Neurocomputing 2012, 99(1):467-476.
    • (2012) Neurocomputing , vol.99 , Issue.1 , pp. 467-476
    • Li, C.1    Chiang, T.W.2    Yeh, L.C.3
  • 7
    • 84862823570 scopus 로고    scopus 로고
    • Cooperative coevolution of Elman recurrent neural networks for chaotic time series prediction
    • Chandra R., Zhang M.J. Cooperative coevolution of Elman recurrent neural networks for chaotic time series prediction. Neurocomputing 2012, 86(1):116-123.
    • (2012) Neurocomputing , vol.86 , Issue.1 , pp. 116-123
    • Chandra, R.1    Zhang, M.J.2
  • 8
    • 84862800910 scopus 로고    scopus 로고
    • An evolutionary constructive and pruning algorithm for artifical neural networks and its prediction application
    • Yang S.H., Chen Y.P. An evolutionary constructive and pruning algorithm for artifical neural networks and its prediction application. Neurocomputing 2012, 86(1):140-149.
    • (2012) Neurocomputing , vol.86 , Issue.1 , pp. 140-149
    • Yang, S.H.1    Chen, Y.P.2
  • 9
    • 38149109867 scopus 로고    scopus 로고
    • Artificial neural networks and cluster analysis in landslide susceptibility zonation
    • Melchiorre C., Matt eucci 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    Matt Eucci, M.2    Azzoni, A.3    Zanchi, A.4
  • 10
    • 84874575432 scopus 로고    scopus 로고
    • Deformation prediction of landslide based on improved back-propagation neural network
    • Chen H.Q., Zeng Z.G. Deformation prediction of landslide based on improved back-propagation neural network. Cogn. Comput. 2013, 5(1):56-62.
    • (2013) Cogn. Comput. , vol.5 , Issue.1 , pp. 56-62
    • Chen, H.Q.1    Zeng, Z.G.2
  • 11
    • 84856370614 scopus 로고    scopus 로고
    • Landslide displacement prediction based on combining method with optimal weight
    • Li X.Z., Kong J.M., Wang Z.Y. Landslide displacement prediction based on combining method with optimal weight. Nat. Hazards Rev. 2012, 61(2):635-646.
    • (2012) Nat. Hazards Rev. , vol.61 , Issue.2 , pp. 635-646
    • Li, X.Z.1    Kong, J.M.2    Wang, Z.Y.3
  • 12
    • 84155189099 scopus 로고    scopus 로고
    • A data based model to predict landslide induced by rainfall in Rio de Janeiro city
    • de Souza F.T., Ebecken N.F.F. A data based model to predict landslide induced by rainfall in Rio de Janeiro city. Geotech. Geolog. Eng. 2012, 30(1):85-94.
    • (2012) Geotech. Geolog. Eng. , vol.30 , Issue.1 , pp. 85-94
    • de Souza, F.T.1    Ebecken, N.F.F.2
  • 13
    • 79952454832 scopus 로고    scopus 로고
    • Manifestation of an adaptive neuro-fuzzy model on landslide susceptibility mapping. Klang valley, Malaysia
    • Sezera E.A., Pradhan B., Gokceogluc C. Manifestation of an adaptive neuro-fuzzy model on landslide susceptibility mapping. Klang valley, Malaysia. Expert Syst. Appl. 2011, 38(7):8208-8219.
    • (2011) Expert Syst. Appl. , vol.38 , Issue.7 , pp. 8208-8219
    • Sezera, E.A.1    Pradhan, B.2    Gokceogluc, C.3
  • 14
    • 84869027669 scopus 로고    scopus 로고
    • Displacement prediction model of landslide based on ensemble of extreme learning machine
    • in: The Ninth International Conference on Neural Information Processing, ICONIP2012, Doha, Qatar
    • C. Lian, Z.G. Zeng, W. Yao, H.M. Tang, Displacement prediction model of landslide based on ensemble of extreme learning machine, in: The Ninth International Conference on Neural Information Processing, ICONIP2012, Doha, Qatar, 2012, pp. 240-247.
    • (2012) , pp. 240-247
    • Lian, C.1    Zeng, Z.G.2    Yao, W.3    Tang, H.M.4
  • 15
    • 84874221132 scopus 로고    scopus 로고
    • Displacement prediction model of landslide based on a modified ensemble empirical mode decomposition and extreme learning machine
    • Lian C., Zeng Z.G., Yao W., Tang H.M. Displacement prediction model of landslide based on a modified ensemble empirical mode decomposition and extreme learning machine. Nat. Hazards 2013, 66(2):759-771.
    • (2013) Nat. Hazards , vol.66 , Issue.2 , pp. 759-771
    • Lian, C.1    Zeng, Z.G.2    Yao, W.3    Tang, H.M.4
  • 16
    • 0025547056 scopus 로고
    • A new error criterion for posterior probability estimation with neural nets
    • in: Proceedings of Iteration Joint Conference on Neural Networks
    • E.J. Amro, M. John, A new error criterion for posterior probability estimation with neural nets, in: Proceedings of Iteration Joint Conference on Neural Networks, 1990, pp. 185-192.
    • (1990) , pp. 185-192
    • Amro, E.J.1    John, M.2
  • 17
    • 0026953305 scopus 로고
    • Improving generalization performance using double back-propagation
    • Harris D., Yann L.C. Improving generalization performance using double back-propagation. IEEE Trans. Neural Netw. 1992, 3:991-997.
    • (1992) IEEE Trans. Neural Netw. , vol.3 , pp. 991-997
    • Harris, D.1    Yann, L.C.2
  • 18
    • 0032099965 scopus 로고    scopus 로고
    • Functional networks
    • Castillo E. Functional networks. Neural Process Lett. 1998, 7(3):151-159.
    • (1998) Neural Process Lett. , vol.7 , Issue.3 , pp. 151-159
    • Castillo, E.1
  • 20
    • 0002758948 scopus 로고    scopus 로고
    • Nonlinear time series modeling and prediction using functional networks, extracting information masked by chaos
    • Castillo E., Gutiérrez J.M. Nonlinear time series modeling and prediction using functional networks, extracting information masked by chaos. Phys. Lett. A 1998, 244(1-3):71-84.
    • (1998) Phys. Lett. A , vol.244 , Issue.1-3 , pp. 71-84
    • Castillo, E.1    Gutiérrez, J.M.2
  • 24
    • 23444462420 scopus 로고    scopus 로고
    • Functional networks in real-time flood forecasting-a novel application
    • Bruen M., Yang J.Q. Functional networks in real-time flood forecasting-a novel application. Adv. Water Resour. 2005, 28(9):899-909.
    • (2005) Adv. Water Resour. , vol.28 , Issue.9 , pp. 899-909
    • Bruen, M.1    Yang, J.Q.2
  • 25
    • 2342615450 scopus 로고    scopus 로고
    • A comparison between functional networks and artificial neural networks for the prediction of fishing catches
    • Iglesias A., Arcay B., Cotos J.M., Taboada A., Dafonte C. A comparison between functional networks and artificial neural networks for the prediction of fishing catches. Neural Comput. Appl. 2004, 13(1):24-31.
    • (2004) Neural Comput. Appl. , vol.13 , Issue.1 , pp. 24-31
    • Iglesias, A.1    Arcay, B.2    Cotos, J.M.3    Taboada, A.4    Dafonte, C.5
  • 26
    • 22144494701 scopus 로고    scopus 로고
    • Optimisation of fishing prediction of artificial neural networks, anfis, functional network and remote sensing images
    • Nun A.I., Arcay L.H., Cotos M., Varela J. Optimisation of fishing prediction of artificial neural networks, anfis, functional network and remote sensing images. Expert Syst. Appl. 2005, 29:356-363.
    • (2005) Expert Syst. Appl. , vol.29 , pp. 356-363
    • Nun, A.I.1    Arcay, L.H.2    Cotos, M.3    Varela, J.4
  • 27
    • 0343844120 scopus 로고    scopus 로고
    • Some applications of functional networks in statistics and engineering
    • Castillo E., Gutierrez J.M., Hadi A.S., Lacruz B. Some applications of functional networks in statistics and engineering. Technometrics 2001, 43(1):10-24.
    • (2001) Technometrics , vol.43 , Issue.1 , pp. 10-24
    • Castillo, E.1    Gutierrez, J.M.2    Hadi, A.S.3    Lacruz, B.4
  • 28
    • 35748932397 scopus 로고    scopus 로고
    • Semi-parametric nonlinear regression and transformation using functional networks
    • Castillo E., Hadi A.S., Lacruz B., Pruneda R.E. Semi-parametric nonlinear regression and transformation using functional networks. Comput. Stat. Data Anal. 2008, 52(4):2129-2157.
    • (2008) Comput. Stat. Data Anal. , vol.52 , Issue.4 , pp. 2129-2157
    • Castillo, E.1    Hadi, A.S.2    Lacruz, B.3    Pruneda, R.E.4
  • 29
    • 56349084084 scopus 로고    scopus 로고
    • Software reliability identification using functional networks. A comparative study
    • El-Sebakhy E.A. Software reliability identification using functional networks. A comparative study. Expert Syst. Appl. 2009, 36(2):4013-4020.
    • (2009) Expert Syst. Appl. , vol.36 , Issue.2 , pp. 4013-4020
    • El-Sebakhy, E.A.1
  • 30
    • 78049526683 scopus 로고    scopus 로고
    • Functional networks as a novel data mining paradigm in forecasting software development efforts
    • El-Sebakhy E.A. Functional networks as a novel data mining paradigm in forecasting software development efforts. Expert Syst. Appl. 2011, 8(3):2187-2194.
    • (2011) Expert Syst. Appl. , vol.8 , Issue.3 , pp. 2187-2194
    • El-Sebakhy, E.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.