A dynamic k-winners-take-all neural network

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 27, Issue 3, 1997, Pages 523-526

  Yang, Jar Ferr ^a   Chen, Chi Ming ^a  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; ITERATIVE METHODS; NUMBER THEORY; PERFORMANCE;

INTERACTIVE ACTIVATIONS; SYNCHRONOUS SYSTEM CLOCK;

NEURAL NETWORKS;

EID: 0031168201     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/3477.584959     Document Type: Article

References (22)

1. S. Grossberg, "Adaptive pattern classification and universal recording: I. Parallel development and coding of neural feature detectors," Biol. Cybern., vol. 23, pp. 121-134, 1976.
2. G. Carpenter and S. Grossberg, "Adaptive resonance theory: Stable self-organization of neural recognition codes in response to arbitrary lists of input patterns," in 8th Annu. Conf. Cognitive Science Society. Hillsdale, NJ: Lawrence Erlbaum, 1986, pp. 45-62.
3. B. Kosko, "Fuzzy associative memories," in Fuzzy Expert Systems, A. Kandel, Ed. Reading, MA, Addison-Wesley, 1987.
4. T. Kohonen, "Automatic formation of topological maps in a self-organizing system," in Proc. 2nd Scandinavian Conf. Image Analysis, E. Oja and O. Simula, Eds., 1981, pp. 214-220.
5. _, Self-Organization and Associative Memory, 3rd ed. New York: Springer-Verlag, 1989.
6. S. Grossberg, "Nonlinear neural networks: Principles, mechanisms, and architectures," Neural Networks, vol. 1, pp. 17-61, 1988.
7. R. P. Lippmann, "An introduction to computing with neural nets," IEEE ASSP Mag., Apr. 1987.
8. S. Grossberg, "Contour enhancement, short term memory, and constancies in reverberating neural networks," Stud. Appl. Math., vol. LII, pp. 213-257, 1973.
9. J. A. Feldman and D. H. Ballard, "Connectionist models and their properties," Cognitive Sci., vol. 6, pp. 205-254, 1982.
10. D. Koch and S. Ullman, "Selecting one among the many: A simple network implementing shifts in selective visual attention," Human Neurobiology, vol. 4, pp. 219-227, 1985.
11. J. P. Lazzaro, S. Ryckebusch, M. A. Mahowald, and C. A. Mead, "Winner-take-all networks of O(N) complexity," Dept. Comput. Sci., Calif., Inst. Technol., Tech. Rep. Caltech-CS-TR-21-88, 1989.
12. R. Perfetti, "Winner-take-all circuit for neurocomputing applications," IEE Proc., vol. 137, pt. G, no. 5, pp. 353-359, Oct. 1990.
13. B. Ermentrout, "Complex dynamics in winner-take-all neural nets with slow inhibition," Neural Networks, vol. 5, pp. 415-431, 1992.
14. M. Lemmon and B. V. Kumar, "Emulating the dynamics for a class of laterally inhibited neural networks," Neural Networks, vol. 2, pp. 193-214, 1989.
15. J. C. Yen and S. Chang, "Improved winner-take-all neural network," Electron. Lett., pp. 662-664, Mar. 1992.
16. B. W. Suter and M. Kabrisky, "On a magnitude preserving iterative Maxnet algorithm," Neural Computation, vol. 4, pp. 224-233, 1992.
17. H. K. Kwan, "One-layer feedforward neural network fast maximum/minimum determination," Electron. Lett., pp. 1583-1585, 1992.
18. J. F. Yang, C. M. Chen, W. C. Wang, and J. Y. Lee, "A general mean based iteration winner-take-all neural network," IEEE Trans. Neural Networks, vol. 6, pp. 14-24, Jan. 1995.
19. E. Majani, R. Erlanson, and Y. Abu-Mostafa, "On the K-winners-take-all network," Advances in Neural Information Processing Systems I, D. S. Touretzky, Ed. San Mateo, CA: Morgan Kaufmann, 1989, pp. 634-642.
20. W. J. Wolfe et al., "K-winner networks," IEEE Trans. Neural Networks, vol. 2, pp. 310-315, Mar. 1991.
21. J. C. Yen and S. Chang, "A new first-k-winners neural network," in ISANN'93, pp. D-01-D-06.
22. H. A. David, Order Statistics, 2nd ed. New York: Wiley, 1980.