Neural Network Design of a Banyan Network Controller

IEEE Journal on Selected Areas in Communications

Volumn 8, Issue 8, 1990, Pages 1428-1438

  Brown, Timothy X ^a   Liu, Kuo Hui ^b  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^b Pacific Bell   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC NETWORKS, COMMUNICATION--CONTROL; NEURAL NETWORKS; SWITCHING SYSTEMS;

ARTIFICIAL NEURAL NETWORKS; ATM NETWORKS; BANYAN NETWORK CONTROLLER; BISDN; OPTICAL TRANSMISSION; PACKET SWITCHING NETWORKS;

DATA TRANSMISSION;

EID: 0025503038     PISSN: 07338716     EISSN: None     Source Type: Journal    
DOI: 10.1109/49.62821     Document Type: Article

References (16)

1. “Digital hierarchy optical interface rates and formats specifications,” Amer. Nat. Standards Telecommun., T1.105. 1988.
2. R. Sinha, Ed., “T1S1 technical sub-committee; Broadband aspects of ISDN baseline document,” T1S1-1/89-200, May 1989.
3. T. Y. Feng, “A survey of interconnection networks,” IEEE Comput. Mag., pp. 12–27, Dec. 1981.
4. K. E. Batcher, “Sorting networks and their applications,” in Proc. AFIPS and SJCC, 1968, pp. 307–314.
5. J. J. Hopfield and D. W. Tank, “Neural computation of decisions in optimization problems,” Biol. Cyber., vol. 52, pp. 141–152, 1985.
6. C. L. Wu and T. Y. Feng, “On a class of multistage interconnection networks,” IEEE Trans. Comput., vol. C-29, pp. 694–702, Aug. 1980.
7. M. J. Karol, M. G. Hluchyj, and S. P. Morgan, “Input vs. output queueing on a space-division packet switch,” IEEE Trans. Commun., vol. COM-35, pp. 1347–1356, Dec. 1987.
8. M. G. Hluchyj and M. J. Karol, “Queueing in high-performance packet switching,” IEEE J. Select. Areas Commun., vol. 6, pp. 1587–1597, Dec. 1988.
9. J. S. Judd, Neural Network Design and the Complexity of Learning. Cambridge, MA: M.I.T. Press, 1990.
10. R. J. McEliece, E. C. Posner, E. R. Rodemich, and S. S. Venkatesh, “The capacity of the Hopfield associative memory,” IEEE Trans. Informal. Theory, vol. IT-33, no. 4, pp. 461–482, July 1987.
11. 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. Vol. I: Foundations, D. E. Rumelhart and J. L. McClelland, Eds. Cambridge, MA: M.I.T. Press, 1986, ch. 8.
12. J. J. Hopfield, “Neurons with graded response have collective computational properties like those of two-state neurons,” in Proc. Nat. Acad. Sci. USA, vol. 81, pp. 3088–3092, May 1984.
13. E. Majani, R. Erlanson, and Y. Abu-Mustafa, “On the K-winner-take-all network,” in Advances in Neural Information Processing Systems I, D. S. Touretzky, Ed. San Mateo, CA: Morgan Kaufman, 1989, pp. 634–642.
14. T. X. Brown, “Neural networks for switching,” IEEE Commun. Mag., vol. 27, pp. 72–81, Nov. 1989.
15. J. Lazzaro and C. A. Mead, “A silicon model of auditory localization,” Neural Computation, vol. 1, no. 1, pp. 47–57.
16. A. Marrakchi and T. Troudet, “A neural net arbitrator for large crossbar packet-switches,” IEEE Trans. Circuits Syst., vol. 36, pp. 1039–1041, July 1989.