A Modular CMOS Design of a Hamming Network

IEEE Transactions on Neural Networks

Volumn 3, Issue 3, 1992, Pages 444-456

  Sánchez Sinencio, Edgar ^c  

^a Department of Electrical Engineering Texas A&M University International Microelectronic Products ^*  (United States)

^b JFE STEEL CORPORATION   (Japan)

^c TEXAS A AND M UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INTEGRATED CIRCUITS, CMOS; INTEGRATED CIRCUITS, VLSI; PATTERN RECOGNITION;

FEEDFORWARD NEURAL NETWORKS; HAMMING NETWORKS; NEURAL NETWORK HARDWARE;

NEURAL NETWORKS;

EID: 0026869113     PISSN: 10459227     EISSN: 19410093     Source Type: Journal    
DOI: 10.1109/72.129417     Document Type: Article

References (13)

1. R. P. Lippman, “Pattern classification using neural networks,” IEEE Communications Magazine, pp. 54–66, Nov. 1989.
2. R. P. Lippman, “Introduction to computing with neural networks,” IEEE ASSP Magazine, pp. 4–22, Apr. 1987.
3. R. P. Lippman, B. Gold, and M. L. Malpass, “A comparison of Hamming and Hopfield neural nets for pattern classification,” Tech. Rep. 769, Lincoln Laboratory, Massachusetts Institute of Technology, Lexington, MA, May 1987.
4. J. J. Hopfield, “Artificial neural networks,” IEEE Circuits and Devices Magazine, pp. 3–10, Sept. 1988.
5. J.J. Hopfield, “Neural networks and physical systems with emergent collective computational abilities,” Proc. Nat. Acad. Sci. U.S., vol. 79, pp. 2554–2558, Apr. 1982.
6. J. J. Hopfield, “Neurons with graded response have collective computational properties like those of two-stage neurons,” Proc. Nat. Acad. Sci. U.S., vol. 81, pp. 3088–3092, May 1984.
7. J. J. Hopfield and D. W. Tank, “Computing with neural circuits,” Science, vol. 233, pp. 625–633, Aug. 1986.
8. B. Kosko, Neural Networks and Fuzzy Systems, 1st ed. Englewood Cliffs, NJ: Prentice-Hall, 1992.
9. P. Floreen, “The convergence of Hamming memory networks,” IEEE Trans. Neural Networks, vol. 2, pp. 449–457, July 1991.
10. J. Lazaro, R. Ryckebusch, M. A. Mahowald, and C. A. Mead, “Winner-take-all networks of O(N) complexity,” in Advances in Neural Information Processing Systems, vol. 1. Los Altos, CA: Morgan Kaufmann, 1989, pp. 703–711.
11. R. Perfetti, “Winner-take-all circuit for neurocomputing applications,” Proc. Inst. Elec. Eng., vol. 137, pp. 353–359, Oct. 1990.
12. E. Majani, R. Erlanson, and Y. Abu-Mostafa, “On the K winners-take-all network,” in Advances in Neural Information Processing Systems, vol. 1. Los Altos, CA: Morgan Kaufmann, 1989, pp. 635–642.
13. A. G. Andreou, “Synthetic neural systems using current-mode circuits,” in Proc. IEEE Int. Symp. Circuits Syst. (ISCAS), (New Orleans), vol. 3, May 1990, pp. 2428–2432.