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Volumn 120, Issue , 2013, Pages 624-632

Robust learning algorithm based on LTA estimator

Author keywords

Feedforward neural networks; Outliers; Robust learning algorithms; Robust statistics

Indexed keywords

NEURAL NETWORKS TRAININGS; OUTLIERS; ROBUST LEARNING ALGORITHM; ROBUST STATISTICS; TRADITIONAL APPROACHES; TRADITIONAL LEARNING; TRAINING DATA SETS; TRAINING FRAMEWORK;

EID: 84882840750     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2013.04.008     Document Type: Article
Times cited : (21)

References (25)
  • 1
    • 84868710324 scopus 로고    scopus 로고
    • Derivative-free optimization and neural networks for robust regression, Optimization
    • G. Beliakov, A. Kelarev, J. Yearwood, Derivative-free optimization and neural networks for robust regression, Optimization (2012). doi:10.1080/02331934.2012.674946.
    • (2012)
    • Beliakov, G.1    Kelarev, A.2    Yearwood, J.3
  • 2
    • 0028428006 scopus 로고
    • A robust back propagation learning algorithm for function approximation
    • Chen D.S., Jain R.C. A robust back propagation learning algorithm for function approximation. IEEE Trans. Neural Netw. 1994, 5(May):467-479.
    • (1994) IEEE Trans. Neural Netw. , vol.5 , Issue.MAY , pp. 467-479
    • Chen, D.S.1    Jain, R.C.2
  • 3
    • 0034271492 scopus 로고    scopus 로고
    • The annealing robust backpropagation (ARBP) learning algorithm
    • Chuang C., Su S., Hsiao C. The annealing robust backpropagation (ARBP) learning algorithm. IEEE Trans. Neural Netw. 2000, 11(September):1067-1076.
    • (2000) IEEE Trans. Neural Netw. , vol.11 , Issue.SEPTEMBER , pp. 1067-1076
    • Chuang, C.1    Su, S.2    Hsiao, C.3
  • 4
    • 0742289150 scopus 로고    scopus 로고
    • Annealing robust radial basis function networks for function approximation with outliers
    • Chuang C.C., Jeng J.T., Lin P.T. Annealing robust radial basis function networks for function approximation with outliers. Neurocomputing 2004, 56:123-139.
    • (2004) Neurocomputing , vol.56 , pp. 123-139
    • Chuang, C.C.1    Jeng, J.T.2    Lin, P.T.3
  • 5
    • 0029156915 scopus 로고
    • Robustization of a learning method for RBF networks
    • David Sanchez V.A. Robustization of a learning method for RBF networks. Neurocomputing 1995, 9:85-94.
    • (1995) Neurocomputing , vol.9 , pp. 85-94
    • David Sanchez, V.A.1
  • 6
    • 29644438050 scopus 로고    scopus 로고
    • Statistical comparisons of classifiers over multiple data sets
    • Demsar J. Statistical comparisons of classifiers over multiple data sets. J. Mach. Learn. Res. 2006, 7:1-30.
    • (2006) J. Mach. Learn. Res. , vol.7 , pp. 1-30
    • Demsar, J.1
  • 7
    • 0012925164 scopus 로고
    • On observations relating to several quantities
    • Edgeworth F.Y. On observations relating to several quantities. Hermathena 1887, 6:279-285.
    • (1887) Hermathena , vol.6 , pp. 279-285
    • Edgeworth, F.Y.1
  • 8
    • 65749109372 scopus 로고    scopus 로고
    • Robust training of artificial feedforward neural networks
    • in: Foundations of Computational Intelligence
    • M.T. El-Melegy, M.H. Essai, A.A. Ali, Robust training of artificial feedforward neural networks, in: Foundations of Computational Intelligence, vol. 1, 2009, pp. 217-242.
    • (2009) , vol.1 , pp. 217-242
    • El-Melegy, M.T.1    Essai, M.H.2    Ali, A.A.3
  • 9
    • 80054744559 scopus 로고    scopus 로고
    • Random sampler m-estimator algorithm for robust function approximation via feed-forward neural networks
    • in: Proceedings of International Joint Conference on Neural Networks, San Jose, California
    • M.T. El-Melegy, Random sampler m-estimator algorithm for robust function approximation via feed-forward neural networks, in: Proceedings of International Joint Conference on Neural Networks, San Jose, California, pp. 3134-3140.
    • El-Melegy, M.T.1
  • 10
    • 80054765594 scopus 로고    scopus 로고
    • Ransac algorithm with sequential probability ratio test for robust training of feed-forward neural networks
    • in: Proceedings of International Joint Conference on Neural Networks, San Jose, California
    • M.T. El-Melegy, Ransac algorithm with sequential probability ratio test for robust training of feed-forward neural networks, in: Proceedings of International Joint Conference on Neural Networks, San Jose, California, 2011, pp. 3256-3263.
    • (2011) , pp. 3256-3263
    • El-Melegy, M.T.1
  • 14
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
    • Hornik K., Stinchconbe M., White H. Multilayer feedforward networks are universal approximators. Neural Netw. 1989, 2:359-366.
    • (1989) Neural Netw. , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchconbe, M.2    White, H.3
  • 16
    • 0029777584 scopus 로고    scopus 로고
    • Robust error measure for supervised neural network learning with outliers
    • Liano K. Robust error measure for supervised neural network learning with outliers. IEEE Trans. Neural Netw. 1996, 7(January):246-250.
    • (1996) IEEE Trans. Neural Netw. , vol.7 , Issue.JANUARY , pp. 246-250
    • Liano, K.1
  • 17
    • 0025536870 scopus 로고
    • Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights
    • in: Proceedings of the International Joint Conference on Neural Networks
    • D. Nguyen, B. Widrow, Improving the learning speed of 2-layer neural networks by choosing initial values of the adaptive weights, in: Proceedings of the International Joint Conference on Neural Networks, vol. 3, 1990, pp. 21-26.
    • (1990) , vol.3 , pp. 21-26
    • Nguyen, D.1    Widrow, B.2
  • 18
    • 84882810433 scopus 로고    scopus 로고
    • Robustifying Robust Estimators, NY
    • D.J. Olive, D.M. Hawkins, Robustifying Robust Estimators, NY, 2007.
    • (2007)
    • Olive, D.J.1    Hawkins, D.M.2
  • 20
    • 84868679923 scopus 로고
    • PROBEN 1-a standardized benchmark collection for neural network algorithms
    • Available from 〈〉, 2012.
    • L. Prechelt, PROBEN 1-a standardized benchmark collection for neural network algorithms, 1994. Available from 〈〉, 2012. http://ftp://ftp.ira.uka.de/pub/neuron/proben1.tar.gz.
    • (1994)
    • Prechelt, L.1
  • 21
    • 84950968334 scopus 로고
    • Least median of squares regression
    • Rousseeuw P.J. Least median of squares regression. J. Am. Stat. Assoc. 1984, 79:871-880.
    • (1984) J. Am. Stat. Assoc. , vol.79 , pp. 871-880
    • Rousseeuw, P.J.1
  • 24
    • 48249139546 scopus 로고    scopus 로고
    • Robust MCD-based backpropagation learning algorithm
    • in: Rutkowski, et al. (Eds.), ICAISC 2008. LNCS (LNAI), Springer-Verlag
    • A.L. Rusiecki, Robust MCD-based backpropagation learning algorithm, in: Rutkowski, et al. (Eds.), ICAISC 2008. LNCS (LNAI), vol. 5097, Springer-Verlag, 2008, pp. 154-163.
    • (2008) , vol.5097 , pp. 154-163
    • Rusiecki, A.L.1
  • 25
    • 38049105501 scopus 로고    scopus 로고
    • Robust LTS backpropagation learning algorithm
    • in: IWANN 2007. Lecture Notes in Computer Sciences, Springer-Verlag
    • A.L. Rusiecki, Robust LTS backpropagation learning algorithm, in: IWANN 2007. Lecture Notes in Computer Sciences, vol. 4507, Springer-Verlag, 2007, pp. 102-109.
    • (2007) , vol.4507 , pp. 102-109
    • Rusiecki, A.L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.