PSO-based cloning template design for CNN associative memories

IEEE Transactions on Neural Networks

Volumn 20, Issue 11, 2009, Pages 1837-1841

  Giaquinto, A ^a   Fornarelli, G ^a  

^a POLITECNICO DI BARI   (Italy)

Author keywords

Associative memories; Cellular neural networks (CNNs); Particle swarm optimization (PSO); Robustness to parametric variations

Indexed keywords

ASSOCIATIVE PROCESSING; ASSOCIATIVE STORAGE; CLONING; EVOLUTIONARY ALGORITHMS; GENETIC ENGINEERING; PARAMETRIC DEVICES; PARTICLE SWARM OPTIMIZATION (PSO);

ASSOCIATIVE MEMORY; CLONING TEMPLATE; NOISY PATTERNS; NUMERICAL RESULTS; PARAMETRIC VARIATION; SYNTHESIS PROCEDURE;

CELLULAR NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; LEARNING; MATHEMATICAL COMPUTING; MATHEMATICAL PHENOMENA; MEMORY; PHYSIOLOGY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; ASSOCIATION LEARNING; COMPUTER SIMULATION; MATHEMATICAL COMPUTING; MATHEMATICAL CONCEPTS; MEMORY; NEURAL NETWORKS (COMPUTER);

EID: 75549090717     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2009.2031870     Document Type: Article

References (17)

1. L. O. Chua and T. Roska, Cellular Neural Networks and Visual Computing. New York: Cambridge Univ. Press, 2005.
2. G. Grassi, "A newapproach to design cellular neural networks for associative memories," IEEE Trans. Circuits Syst. I, Fundam. Theory Appl., vol. 44, no. 9, pp. 835-838, Sep. 1997.
3. D. Liu, "Cloning template design of cellular neural networks for associative memories," IEEE Trans. Circuits Syst. I, Fundam. Theory Appl., vol. 44, no. 7, pp. 646-649, Jul. 1997.
4. M. Hanggi, H. C. Reddy, and G. S. Moschytz, "An exact and direct analytical method for the design of optimally robust CNN templates," IEEE Trans. Circuits Syst. I, Fundam. Theory Appl., vol. 46, no. 2, pp. 304-311, Feb. 1999.
5. H. A. Firpi and E. D. Goodman, "Designing templates for cellular networks using particle swarm optimization," in Proc. 33rd Appl. Imagery Pattern Recognit. Workshop, Washington, DC, Oct. 13-15, 2004, pp. 119-123.
6. T. Kozek, T. Roska, and L. O. Chua, "Genetic algorithm for CNN template learning," IEEE Trans. Circuits Syst. I, Fundam. Theory Appl., vol. 40, no. 6, pp. 392-402, Jun. 1993.
7. J. Yu, L. Xi, and S. Wang, "An improved particle swarm optimization for evolving feedforward artificial neural networks," Neural Process. Lett., vol. 26, no. 3, pp. 217-231, Dec. 2007.
8. J. Kennedy and R. Eberhart, "Particle swarm optimization," in Proc. IEEE Int. Conf. Neural Netw., Perth, Australia, Nov. 27-Dec. 1 1995, pp. 1942-1948.
9. Y. C. Chen, H. C.Wang, and T. J. Su, "Particle swarm optimization for image noise cancellation," in Proc. 1st Int. Conf. Innovative Comput. Inf. Control, Beijing, China, Aug. 30-Sep. 1 2006, pp. 587-590.
10. L. O. Chua and L. Yang, "Cellular neural networks: Theory," IEEE Trans. Circuits Syst., vol. 35, no. CAS-10, pp. 1257-1272, Oct. 1988.
11. Z. Lu and D. Liu, "A new synthesis procedure for a class of cellular neural networks with space-invariant cloning template," IEEE Trans. Circuits Syst. II, Analog Digit. Signal Process., vol. 45, no. 12, pp. 1601-1605, Dec. 1998.
12. A. N. Michel, K.Wang, D. Liu, and H. Ye, "Qualitative limitations incurred in implementations of recurrent neural networks," IEEE Control Syst. Mag., vol. 15, no. 3, pp. 52-65, Jun. 1995.
13. D. Liu and A. N. Michel, "Sparsely interconnected neural networks for associative memories with applications to cellular neural networks," IEEE Trans. Circuits Syst. II, Analog Digit. Signal Process., vol. 41, no. 4, pp. 295-307, Apr. 1994.
14. S. Haykin, Neural Networks A Comprehensive Foundation. Englewood Cliffs, NJ: Prentice-Hall, 1998.
15. H. Harrer and J. A. Nossek, "Discrete-time cellular neural networks," Int. J. Circuits Theory Appl., vol. 20, no. 5, pp. 453-467, Sep./Oct. 1992.
16. J. Cao, "Global stability conditions for delayed CNNs," IEEE Trans. Circuits Syst. I, Fundam. Theory Appl., vol. 48, no. 11, pp. 1330-1333, Nov. 2001.
17. J. Cao and J.Wang, "Global asymptotic and robust stability of recurrent neural networks with time delays," IEEE Trans. Circuits Syst. I, Reg. Papers, vol. 52, no. 2, pp. 417-426, Feb. 2005.