A multilevel architecture for FPGA based implementation of feed-forward neural network for pattern recognition

Intelligent Engineering Systems Through Artificial Neural Networks

Volumn 12, Issue , 2002, Pages 601-606

  Rajan, L ^a   Al Khaled, F A ^a   Perez, M J ^a   Asari, K V ^a  

^a Old Dominion University ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BACKPROPAGATION; FACE RECOGNITION; FIELD PROGRAMMABLE GATE ARRAYS; IMAGE ANALYSIS;

MULTILEVEL ARCHITECTURE;

FEEDFORWARD NEURAL NETWORKS;

EID: 0036999912     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Bayrakkaroglu, I., Ogrenci, A.S., Dunndar, G., Balker, S., and Alpaydm, E., 1999, "ANNSys: an analog Neural Network Synthesis System," Neural Networks, vol 2,pp. 325-338.
2. Belhumeur, P.N., Hespanha, J.P., and Kriegman, D.J., 1997,"Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection," IEEE Transactions on pattern analysis and machine intelligence, 1997.Vol.19, No.7, pp.711-720.
3. Botros, N.M., and Abdul-Aziz, M., 1993, "Hardware implementation of an Artificial Neural Network," In Proc. ICNN, vol.3, pp. 1252-1257.
4. Cimpu, V.F., 1996, "Hardware FPGA Implementation of a Neural Network," In Proc.Int.Conf. Technical Informatics, vol 2, pp 57-68.
5. Eldredge J.G., and Hutchings, B.L., 1994, "RRANN: A hardware Implementation of the Back propagation Algorithm using Reconfigurable FPGAs," In Proceedings of the IEEE world conference on computational Inteltigence, pp. 2097-2102.
6. Erten, G., Rodney, M., and Goodman, 1992, "A Digital Neural Network Architecture Using Random Pulse Trains," Proc. International Joint Conference on Neural Network, vol 1, pp. 1-190-1-195.
7. Lawrence, S.Lee Giles, C., Tsoi, A.C., and Back, A.D., 1997,"Face Recognition:A Convolution Neural Network Approach," IEEE Transactions on Neural Network vol.8,pp/98-113.
8. Turk, M.A., and Pentland A.P., 1991, "Face recognition using eigenfaces," IEEE Coherence on Computer Vision and Pattern Recognition, pp. 586-591.