Output weight optimization for the multi-layer perceptron

Conference Record - Asilomar Conference on Signals, Systems and Computers

Volumn , Issue , 1992, Pages 502-506

  Manry, M T ^a   Guan, Xiujun ^a   Apollo, S J ^b   Allen, L S ^c   Lyle, W D ^c   Gong, W ^d  

^a UNIVERSITY OF TEXAS AT ARLINGTON   (United States)

^b GENERAL DYNAMICS   (United States)

^c EXXONMOBIL UPSTREAM RESEARCH COMPANY   (United States)

^d UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION NETWORKS; FAST METHODS; HIDDEN UNITS; MULTI LAYER PERCEPTRON; POLYNOMIAL BASIS FUNCTIONS; WEIGHT EQUATIONS; WEIGHT OPTIMIZATION;

BACKPROPAGATION;

EID: 84994026058     PISSN: 10586393     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACSSC.1992.269221     Document Type: Conference Paper

References (10)

1. S. A. Barton, "A matrix method for optimizing a neural network", Neural Computation, vol. 3, no. 3, Fall 1991, pp. 450-459.
2. M. S. Chen and M. T. Manry, "Basis Vector Analyses of Back-Propagation Neural Networks", Proceedings of the 34th Midwest Symposium on Circuits and Systems, Monterey, California, May 14-17 1991.
3. D. E. Rumelhart, G. E. Hinton, and R. J. Williams, "Learning internal representations by error propagation", in D. E. Rumelhart and J. L. McClelland (Eds.) Parallel Distributed Processing, vol. I, MIT Press, Cambridge, Massachusetts, 1986.
4. V. Volterra, "Sopra le funzioni che dipendono da altre funzioni", Rend. Regia Academia dei Lince, 20 Sem., pp. 97-105, 141-146, 153-158, 1887.
5. R. Fletcher, "Conjugate direction methods", in Numerical Methods for Unconstrained Optimization, W. Murray, Ed. London and New York: Academic Press, pp 73-86, 1972.
6. P. J. Werbos, "Backpropagation through time: what it does and how to do it", Proc. of the IEEE, October 1990, pp. 1550-1560.
7. S. Dominic, R. Das, D. Whitley, and C. Anderson, "Genetic Reinforcement Learning for Neural Networks", Proceedings oflJCNN'91, Vol. II, pp. 11-71 to 11-76.
8. Dennis W. Ruck et al., "The Mulitlayer Perceptron as an Approximation to a Bayes Optimal Discriminant Function", IEEE Trans. on Neural Networks, Vol. 1, No. 4, 1990.
9. R. Talman, "Differential Maps, Difference Maps, Interpolated Maps, and Long Term Prediction", report number SSC-177 to the SSC Central Design Group, Universities Research Association for the Department of Energy, June 1988.
10. N. George, S. Wang, and D. L. Venable, "Pattern Recognition Using the Ring-Wedge Detector and Neural-Net Software", SPIE Vol. 1134, 1989, pp. 96-106.