Computing with Structured Neural Networks

Computer

Volumn 21, Issue 3, 1988, Pages 91-103

  Feldman, Jerome A ^a   Fanty, Mark A ^a   Goddard, Nigel H ^a  

^a UNIVERSITY OF ROCHESTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; COMPUTER SYSTEMS, DIGITAL - PARALLEL PROCESSING;

CONNECTIONIST SIMULATOR; NECKER CUBE; STRUCTURED CORRECTIONIST MODELS; STRUCTURED NEURAL NETWORKS;

SYSTEMS SCIENCE AND CYBERNETICS;

EID: 0023978759     PISSN: 00189162     EISSN: None     Source Type: Trade Journal    
DOI: 10.1109/2.34     Document Type: Article

References (17)

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8. D.S. Touretzky, and G.E. Hinton, “Symbols Among Neurons: Details of a Connectionist Inference Architecture,” Proc. IJCAI, Los Angeles, 1985, pp. 238–243.
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10. J.S. Judd, “Complexity of Connectionist Learning with Various Node Functions,” Proc. IEEE Int'l. Conf. on Neural Networks, San Diego, June 1987.
11. G. Blelloch, and C.R. Rosenberg, “Network Learning on the Connection Machine,” in Connectionist Models and Their Implications, D. Waltz and J. Feld-man, Eds., Ablex Publishing Corp., 1987.
12. J.A. Feldman et al., “Computing with Structured Connectionist Networks,” Comm. ACM, Feb. 1988.
13. J. Hutchinson et al., “Computing Motion Using Analog and Binary Resistive Networks,” Computer, Mar. 1988.
14. D.E. Rumelhart and J.L. McClelland, eds., Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Vol 1: Foundations, MIT Press/Bradford Books, 1986.
15. P.R. Cooper and S.C. Hollbach, “Parallel Recognition of Objects Comprised of Pure Structure,” Prc. DARPA Image Understanding Workshop, Los Angeles, Feb. 1987.
16. J.A. Feldman, “Dynamic Connections in Neural Networks,” Biological Cybernetics, Vol. 46, 1982, pp. 27–39.
17. M.A. Fanty, “Learning in Structured Connectionist Networks,” forthcoming doctoral dissertation, Computer Science Dept., University of Rochester, 1988.