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Volumn , Issue , 2010, Pages 175-181

Fast and efficient and training of neural networks

Author keywords

Levenberg Marquardt algorithm; Neural network training

Indexed keywords

HESSIAN MATRICES; LEVENBERG-MARQUARDT ALGORITHM; MATRIX MULTIPLICATION; MEMORY COST; NEURAL NETWORK TRAINING; SECOND-ORDER ALGORITHMS; TRAINING PROCESS; VECTOR OPERATIONS;

EID: 77955670448     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HSI.2010.5514571     Document Type: Conference Paper
Times cited : (14)

References (13)
  • 1
    • 0000873069 scopus 로고
    • A method for the solution of certain problems in least squares
    • K. Levenberg, "A method for the solution of certain problems in least squares". Quarterly of Applied Machematics, 5, pp. 164-168, 1944.
    • (1944) Quarterly of Applied Machematics , vol.5 , pp. 164-168
    • Levenberg, K.1
  • 2
    • 57749207082 scopus 로고    scopus 로고
    • Multilayer potts perceptrons with Levenberg- Marquardt learning
    • Feb
    • Wu, J.-M., "Multilayer Potts Perceptrons with Levenberg- Marquardt Learning". IEEE Trans. on Neural Networks, vol.19, no.12, pp. 2032-2043, Feb 2008.
    • (2008) IEEE Trans. on Neural Networks , vol.19 , Issue.12 , pp. 2032-2043
    • Wu, J.-M.1
  • 3
    • 52149083934 scopus 로고    scopus 로고
    • Kernel component analysis using an epsilon-insensitive robust loss function
    • Sept
    • C. Alzate, J. A. K. Suykens, "Kernel Component Analysis Using an Epsilon-Insensitive Robust Loss Function," IEEE Trans. on Neural Networks, vol.19, no.9, pp. 1583-1598, Sept 2008.
    • (2008) IEEE Trans. on Neural Networks , vol.19 , Issue.9 , pp. 1583-1598
    • Alzate, C.1    Suykens, J.A.K.2
  • 4
    • 52149111148 scopus 로고    scopus 로고
    • Feedback-linearization-based neural adaptive control for unknown nonaffine nonlinear discrete-time systems
    • Sept
    • H. Deng, H.-X. Li, Y.-H. Wu, "Feedback-Linearization-Based Neural Adaptive Control for Unknown Nonaffine Nonlinear Discrete-Time Systems," IEEE Trans. on Neural Networks, vol.19, no.9, pp. 1615-1625, Sept 2008.
    • (2008) IEEE Trans. on Neural Networks , vol.19 , Issue.9 , pp. 1615-1625
    • Deng, H.1    Li, H.-X.2    Wu, Y.-H.3
  • 5
    • 73449111308 scopus 로고    scopus 로고
    • Neural network architectures and learning algorithms: How not to be frustrated with neural networks
    • Dec.
    • B. M. Wilamowski, "Neural Network Architectures and Learning Algorithms: How Not to Be Frustrated with Neural Networks," IEEE Industrial Electronics Magazine, vol.3, no.4, pp. 56-63, Dec. 2009.
    • (2009) IEEE Industrial Electronics Magazine , vol.3 , Issue.4 , pp. 56-63
    • Wilamowski, B.M.1
  • 7
    • 37849186543 scopus 로고    scopus 로고
    • Parameter incremental learning algorithm for neural networks
    • June
    • Sheng Wan, L.E. Banta, "Parameter Incremental Learning Algorithm for Neural Networks," IEEE Trans. on Neural Networks, vol.17, no.6, pp. 1424-1438, June 2006.
    • (2006) IEEE Trans. on Neural Networks , vol.17 , Issue.6 , pp. 1424-1438
    • Wan, S.1    Banta, L.E.2
  • 8
    • 54249093329 scopus 로고    scopus 로고
    • Computing gradient vector and Jacobian matrix in arbitrarily connected neural networks
    • Oct.
    • Wilamowski, B.M. Cotton, N.J. Kaynak, O. Dundar, G., "Computing Gradient Vector and Jacobian Matrix in Arbitrarily Connected Neural Networks", IEEE Trans. on Industrial Electronics, vol. 55, no. 10, pp. 3784-3790, Oct. 2008.
    • (2008) IEEE Trans. on Industrial Electronics , vol.55 , Issue.10 , pp. 3784-3790
    • Wilamowski, B.M.1    Cotton, N.J.2    Kaynak, O.3    Dundar, G.4
  • 10
    • 0028543366 scopus 로고
    • Training feedforward networks with the Marquardt algorithm
    • Nov.
    • Hagan, M.T. Menhaj, M.B., "Training feedforward networks with the Marquardt algorithm". IEEE Trans. on Neural Networks, vol.5, no.6, pp. 989-993, Nov. 1994.
    • (1994) IEEE Trans. on Neural Networks , vol.5 , Issue.6 , pp. 989-993
    • Hagan, M.T.1    Menhaj, M.B.2
  • 11
    • 39549096279 scopus 로고    scopus 로고
    • A new Jacobian matrix for optimal learning of single-layer neural networks
    • Jan
    • Jian-Xun Peng, Kang Li, G.W. Irwin, "A New Jacobian Matrix for Optimal Learning of Single-Layer Neural Networks," IEEE Trans. on Neural Networks, vol.19, no.1, pp. 119-129, Jan 2008.
    • (2008) IEEE Trans. on Neural Networks , vol.19 , Issue.1 , pp. 119-129
    • Peng, J.1    Li, K.2    Irwin, G.W.3
  • 12


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.