A modular neural network architecture for character recreation from noisy and partial data

Intelligent Engineering Systems Through Artificial Neural Networks

Volumn 12, Issue , 2002, Pages 21-26

  Seow, Ming Jung ^a   Asari, Vijayan K ^a  

^a Old Dominion University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER RECOGNITION; COMPUTER ARCHITECTURE; ITERATIVE METHODS; PARALLEL PROCESSING SYSTEMS; PATTERN RECOGNITION; SPURIOUS SIGNAL NOISE;

NETWORK ARCHITECTURE;

NEURAL NETWORKS;

EID: 0037004814     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Chen, S.H., & Liao, Y.F., 1998, "Modular recurrent neural networks for Mandarin syllable recognition," IEEE Transactions on Neural Networks, v.9, n.6, pp. 1430-1441.
2. Hopfield, J.J., 1982, "Neural networks and physical systems with emergent collective computational abilities," Proc. Natl. Acad. Sci. USA, vol. 79, pp. 2554-2558.
3. Hopfield, J.J., 1984, "Neurons with graded response have collective computational properties like those of two-state neurons," Proc. Natl. Acad. Sci. USA, vol 81, pp. 3088-3099.
4. Martinez, V.G., 2000, "A modified Hopfield auto-associative memory with improved capacity," IEEE Transactions on Neural Networks, vol. 11, no. 4, pp. 867-878.
5. McEliece, R.J., Posner, E.C., Rodemich, E.R., & Venkatesh, S.S., 1987, "The capacity of the Hopfield associative memory," IEEE Transactions on Information Theory, vol. IT-33, no. 4, pp. 461-452.
6. Moon S.W., & Kong, S.G., 2001, "Block-based neural networks. IEEE Transactions on Neural Networks," v. 12, n.2, pp.307-317.
7. Rosandich, R.G., 1996, "HAVNET: A new neural network architecture for pattern recognition. Neural Networks," v. 10, n. 1, pp. 139-151.
8. Schalkoff, R., 1992, Pattern Recognition: Statistical, Structural and Neural Approaches. New York: Wiley.
9. Scow, M.J., & Asari, V.K., 2001, "High storage capacity architecture for pattern recognition using an array of Hopfield neural networks," Proceedings of 30th International Workshop on Applied imagery and Pattern Recognition, pp. 169-174.
10. Tank, D.W., & Hopfield, J.J., 1986, "Simple neural optimization networks: An A/D converter, signal decision circuit, and a linear programming circuit," IEEE Transactions on Circuits and Systems, vol. CAS-33, no. 5, pp. 533-541, 1986.