Learning using distance based training algorithm for pattern recognition

Pattern Recognition Letters

Volumn 25, Issue 2, 2004, Pages 189-196

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

^a Old Dominion University   (United States)

Author keywords

Distance based training algorithm; Hopfield network; Learning algorithm; Pattern recognition

Indexed keywords

ALGORITHMS; IMAGE PROCESSING; NEURAL NETWORKS; VISION;

DISTANCE BASED TRAINING ALGORITHM;

PATTERN RECOGNITION;

PATTERN RECOGNITION;

EID: 0348108141     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2003.09.013     Document Type: Article

References (12)

1. Gazzaniga M.S. Organization of the human brain Science 245 1989 947-952
2. Happel B. Murre J. The design and evolution of modular neural network architectures Neural Networks 7 1994 985-1004
3. Hebb D.O. The organization of behavior, Neuropsychological Theory 1949 Wiley New York
4. Hopfield, J.J., 1982. Neural networks and physical systems with emergent collective computational abilities. In: Proceedings of National Academy of Science 79, pp. 2554-2558
5. Kuhlmann P. Garces R. Eissfeller H. A dilution algorithm for neural networks Journal of Physics 25 1992 L593-L598
6. LeCun Y. Boser B. Denker J.S. Henderson D. Howard R.E. Hubbard W. Jackel L.D. Handwritten digit recognition with back-propagation network Touretzky D. Information Processing Systems 1990 Morgan Kaufmann
7. López B. Kinzel W. Learning by dilution in a neural network Journal of Physics 30 1997 7753-7764
8. Mehrotra K. Mohan C.K. Ranka S. Elements of Artificial Neural Networks 1997 MIT Press Cambridge, MA
9. Pandya A.S. Macy R.B. Pattern Recognition with Neural Network in C++ 1995 CRC Press/IEEE Press
10. Seow, M.J., Asari, K.V., 2001. High storage capacity architecture for pattern recognition using an array of Hopfield neural networks. In: IEEE Computer Society Proceedings of 30th International Workshop on Applied Imagery and Pattern Recognition, pp. 169-174
11. Seow, M.J., Asari, K.V., 2002a. A generalized cellular neural network architecture for high storage capacity pattern recognition. In: Second International Workshop on Intelligent System design and Application, Atlanta, George, USA, pp. 63-68
12. Seow, M.J., Asari, K.V., 2002b. A modular architecture for a recurrent neural network for character recognition. In: International Conference on Artificial Neural Networks In Engineering (ANNIE 2002): Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Artificial Life and Data Mining, Rolla, Missouri, vol. 12, pp. 21-26