A Generalized Feedforward Neural Network Classifier

Proceedings of the International Joint Conference on Neural Networks

Volumn 2, Issue , 2003, Pages 1429-1434

  Arulampalam, Ganesh ^a   Bouzerdoum, Abdesselam ^a  

^a EDITH COWAN UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); MATHEMATICAL MODELS; MULTILAYER NEURAL NETWORKS;

SHUNTING INHIBITION;

FEEDFORWARD NEURAL NETWORKS;

EID: 0141593874     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (26)

1. J. Y. Lettvin, Form-Function Relations in Neurons, MIT, Res. Quart. Prog. Report No. 66, 333, July 1962.
2. G. G. Furman, "Comparison of models for subtractive and shunting lateral-inhibition in receptor-neuron fields," Kybernetik, vol. 2, pp. 257-274, 1965.
3. S. Grossberg, "Contour enhancement, short term memory, and constancies in reverberating neural networks," Studies in Applied Mathematics, vol. 52, pp. 213-257, 1973.
4. S. Grossberg, "Adaptive pattern classification and universal receding: I. Parallel development and coding of neural feature detectors," Biol. Cybernetics, vol. 23, pp. 121-134, 1976.
5. S. Grossberg, Neural Networks and Natural Intelligence, Cambridge, Mass.: MIT Press, 1988.
6. K. Fukushima, S. Miyake, and T. Ito, "Neocognitron: A neural network model for a mechanism of visual pattern recognition," IEEE Trans. Systems, Man & Cyber., vol. 13, pp. 826-834, 1983.
7. R. B. Pinter, "Product term nonlinear lateral inhibition enhances visual selectivity for small objects or edges," J. Theor. Biol., vol. 100, pp. 525-531, 1983.
8. R. B. Pinter, "Adaptation of receptive field organization by multiplicative lateral inhibition," J. Theor. Biol., vol. 110, pp. 435-444, 1984.
9. R. B. Pinter, "Adaptation of spatial modulation transfer function via nonlinear lateral inhibition," Biological Cybernetics, vol. 51, pp. 285-291, 1985.
10. A. Bouzerdoum and R. B. Pinter, "Nonlinear lateral inhibition applied to motion detection in the fly visual system," in Nonlinear Vision, R. B. Pinter and B. Nabet, Eds. Boca Raton; CRC Press, 1992, pp. 423-450.
11. A. Bouzerdoum, "The elementary movement detection mechanism in insect vision," Phil, Trans. R. Soc. Lond, vol. B-339, pp. 375-384, 1993.
12. A. Bouzerdoum and R. B. Pinter, "Shunting inhibitory cellular neural networks: Derivation and stability analysis," IEEE Trans. on Circuits and Systems I: Fundamental Theory and Applications, vol. 40, pp. 215-221, 1993.
13. G. A. Carpenter and S. Grossberg, "A massively parallel architecture for a self-organising neural pattern recognition machine," Computer Vision, Graphics, and Image Processing, vol. 37, pp. 54 - 115, 1988.
14. A. Bouzerdoum, "A new class of high-order neural networks with nonlinear decision boundaries," Proc. Int. Conf. on Neural Information Processing, Perth, Australia, 1999, pp. 1004-1009.
15. A. Bouzerdoum, "Classification and function approximation using feed-forward shunting inhibitory artificial neural networks," Proc. Int. Joint Conf. on Neural Networks (IJCNN 2000), Como, Italy, 2000, pp. 613-618.
16. G. Arulampalam and A, Bouzerdoum, "Training shunting inhibitory artificial neural networks as classifiers," Neural Network World, vol. 10, pp. 333-350, 2000.
17. G. Arulampalam and A. Bouzerdoum, "Application of shunting inhibitory artificial neural networks to medical diagnosis," Proc. 7th Australian and New Zealand Intelligent Information Systems Conf. (ANZIIS2001), Perth, WA, Australia, 2001, pp. 89-94.
18. G. Arulampalam and A. Bouzerdoum, "Expanding the structure of shunting inhibitory artificial neural network classifiers," Proc. Int. Joint Conf. on Neural Networks (IJCNN 2002), Hawaii, 2002, pp. 2855-2860.
19. C. L. Blake and C. J. Merz, "UCI Repository of machine learning databases," [http://www.ics.uci.edu/̃mlearn/MLRepository.html] University of California, Department of Information and Computer Science, 1998.
20. H. Demuth and M. Beale, Neural Network Toolbox User's Guide, Version 3 : The Math Works Inc., 1992.
21. M. T. Hagan and M. B. Menhaj, "Training feedforward networks with the Marquadt algorithm," IEEE Trans. on Neural Networks, vol. 5, pp. 989-993, 1994.
22. G. Thimm and E. Fiesler, "High-order and multilayer perceptron initialization," IEEE Trans. on Neural Networks, vol. 8, pp. 349-359, 1997.
23. S. Haykin, Neural Networks: A Comprehensive Foundation. New York: Macmillan, 1994.
24. R. Hathaway and J. C. Bezdek, "Fuzzy c-means clustering of incomplete data," IEEE Trans. on Systems, Man and Cybernetics, Part B: Cybernetics, vol. 31, pp. 735-744, 2001.
25. L. Prechelt, "PROBEN 1 - A set of neural network benchmark problems and benchmarking rules," Fakultat fur Informatik, Universitat Karlsruhe, Karlsruhe, Germany Tech. Rep. 21/94, September 1994.
26. J. Sherrah, Automatic Feature Extraction for Pattern Recognition, Ph.D. thesis, University of Adelaide, Adelaide, 1998.