A new scheme for training feed-forward neural networks

Pattern Recognition

Volumn 30, Issue 3, 1997, Pages 519-524

  Abdel Wahhab, Osama ^a   Sid Ahmed, M A ^b  

^a KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS   (Saudi Arabia)

^b UNIVERSITY OF WINDSOR   (Canada)

Author keywords

Arabic fonts; Back propagation; Delta rule; Feed forward neural network; Kalman filter; Moment invariants; Training

Indexed keywords

ALGORITHMS; BACKPROPAGATION; CONVERGENCE OF NUMERICAL METHODS; KALMAN FILTERING; MATHEMATICAL MODELS;

SCALERO TEPEDELENLIOGLU METHOD;

FEEDFORWARD NEURAL NETWORKS;

EID: 0031083860     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(96)00083-0     Document Type: Article

References (16)

1. D. E. Rumelhart, G. E. Hinton and R. J. Williams, Learning internal representations by error propagation, in Parallel Distributed Processing: Explorations in the Microstructure of cognition, D. E. Rumelhart and J. L. McClelland, eds, Vol. 1: Foundations. MIT Press, Cambridge, Massachusetts (1986).
2. R. A. Jacobs, Increased rate of convergence through learning rate adaptation, Neural Networks 1(4), 294-308 (1988).
3. R. L. Watrous, Learning algorithms for connectional networks: Applied gradient methods of nonlinear optimization, Proc. IEEE 1st Int. Conf. Neural Networks 2, 619-628 (1987).
4. D. C. Plaut, S. J. Nowlan and G. E. Hinton, Experiments on learning back-propagation, Technical Report CMU-CS-86-128, Carnegie-Mellon University, Pittsburgh, Pennsylvania (1986).
5. D. R. Hush and J. M. Salas, Improving the learning of back-propagation with the gradient reuse algorithm, Proc. IEEE Int. Conf. Neural Networks 1, 441-448 (1988).
6. R. S. Scalero and N. Tepedelenlioglu, A fast algorithm for training feed-forward neural networks, IEEE Trans. Signal Process. 40(1), 202-210 (1992).
7. J. G. Proakis, Digital Communications. McGraw-Hill, New York (1983).
8. S. S. Haykin, Adaptive Filter Theory. Prentice-Hall, Englewood Cliffs, New Jersey (1986).
9. G. J. Bierman, Factorization Methods for Discrete Sequential Estimation. Academic Press, New York (1977).
10. B. Picinbono, Adaptive signal processing for detection and communication, in Communication Systems and Random Process Theory, J. K. Skwirzynski, ed. Sijthoff & Noordhoff, Alphen a/d Rijn, The Netherlands (1978).
11. G. J. Bierman, Factorization Methods for Discrete Sequential Estimation. Academic Press, New York (1977).
12. R. H. Battin, Astronautical Guidance, pp. 338-339. McGraw-Hill, New York (1964).
13. A. S. Householder, The Theory of Matrices in Numerical Analysis. Ginn, Walthan, Massachusetts (1964).
14. M. K. Hu, Pattern recognition by moment invariants, Proc. 49, 1428 (1961).
15. M. -K. Hu, Visual pattern recognition by moment invariants, IRE Inf. Theory IT-8, 179-187 (1962).
16. C. H. Tien, A note on invariant moments in image processing, IEEE Trans. Systems Man Cybernet. SMC-11(12), 831-834 (1981).