Parallel and separable recursive Levenberg-Marquardt training algorithm

Neural Networks for Signal Processing - Proceedings of the IEEE Workshop

Volumn 2002-January, Issue , 2002, Pages 129-138

  Asirvadam, V S ^a   McLoone, S F ^a   Irwin, G W ^a  

^a QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FEEDFORWARD NEURAL NETWORKS;

LEVENBERG-MARQUARDT; LEVENBERG-MARQUARDT TRAINING ALGORITHM; NONLINEAR TIME SERIES; SEPARABLE LEAST SQUARES; TRAINING ALGORITHMS;

SIGNAL PROCESSING;

EID: 20344387684     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NNSP.2002.1030024     Document Type: Conference Paper

References (12)

1. P. Van Der Smagt, "Minimisation methods for training feedforward neural networks", Neural Networks, Vol. 7, No.1, pp. 1-11, 1994.
2. S.A. Billings, H.B. Jamaluddin and S.Chen, "A Comparison of the Backpropagation and Recursive Prediction Error Algorithms for Training Neural Networks", Mechanical Systems and Signal Processing, vol. 5, no. 3, pp. 233-255, 1991.
3. S. Chen and S.A. Billings, "Recursive prediction error parameter estimator for non-linear models", Int. Journal of Control, vol. 49 no. 2, pp. 569-594, 1989.
4. S.H. Ngia, J. Sjöberg and M. Viberg, "Adaptive neural nets filter using a recursive Levenberg-Marquardt search direction", 3rd Asilomar Conf. on Signals, System and Computer Proceeding, pp. 697-701,1998.
5. S.Gunnarsson, "Combining Tracking and Regularization in Recursive Least Square Identification", Proc. of the 35th IEEE Conference on Decision and Control, pp. 2551-2552, 1996.
6. S. Chen, C.F.N Cowan S.A. Billings and P.M Grant, "Parallel Recursive Prediction Error Algorithm for Training Layered Neural Networks.", Int J. Control, vol. 51, no. 6, pp. 1215-1228, 1990.
7. S.H. Ngia and J. Sjöberg, "Efficient training of neural nets for nonlinear adaptive filtering using a recursive Levenberg-Marquardt algorithm", IEEE Transactions on Signal Processing, vol. 48, no. 7, pp. 1915-1927, July 2000.
8. V.S. Asirvadam, S.F. McLoone and G.W.Irwin, "Separable Recursive Training Algorithms for Feedforward Neural Networks", IEEE World Congress on Computational Intelligence, Honolulu, Hawaii, pp. 1212-17,2002
9. J. Sjöberg and M. Viberg, "Separable non-linear least-squares minimization possible improvements for neural net fitting", Proc. IEEE Workshop in Neural Networks for Signal Processing, Amelia Island Plantation, Florida, Sep. 24-26, 1997.
10. S. McLoone, M. Brown, G. Irwin and G. Lightbody, "A Hybrid linear/nonlinear training algorithm for feedforward neural network", IEEE Transaction on Neural Networks, vol. 9 no. 4, pp. 669-684, July 1998.
11. L. Ljung and T. Söderström, "Theory and Practice of Recursive Identification", MIT, Cambridge, MA, 1983.
12. S.F. McLoone and G.W. Irwin, "Fast parallel off-line training of multilayer perceptrons", IEEE Trans. Neural Networks, vol. 8 no. 3,pp. 646-653, July 1997.