A novel back-propagation neural network training algorithm designed by an ant colony optimization

Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference

Volumn 2005, Issue , 2005, Pages 1-5

  Li, Jeng Bin ^a   Chung, Yun Kung ^a  

^a YUAN ZE UNIVERSITY   (Taiwan)

Author keywords

Ant colony optimization; Artificial neural network; Back propagation network; Curve fitting; Function approximation; Learning algorithm; Swarm intelligence

Indexed keywords

APPROXIMATION THEORY; BACKPROPAGATION; CURVE FITTING; FUNCTION EVALUATION; LEARNING ALGORITHMS; NEURAL NETWORKS; OPTIMIZATION; STATISTICAL METHODS;

ANT COLONY OPTIMIZATION; ANT COLONY OPTIMIZATION (ACO); BACKPROPAGATION NEURAL NETWORK (BPN); FUNCTION APPROXIMATION; SWARM INTELLIGENCE; BACK-PROPAGATION NETWORKS; GENERALIZATION ABILITY;

COMPUTER NETWORKS; NEURAL NETWORKS;

EID: 33746500723     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TDC.2005.1546990     Document Type: Conference Paper

References (14)

1. D. T. Pham and D. Karaboga, Intelligent optimization techniques, genetic algorithms, tabu search, simulated annealing, and neural networks, Berlin, Springer, 2000.
2. Salcedo-Sanz, Sancho; Bousoño-Calzón, Carlos, "A portable and scalable algorithm for a class of constrained combinatorial optimization problems,'' Computers and Operations Research, Vol. 32, pp. 2671-2687, Oct. 2005.
3. K., Adem and K. Dervis, "Training recurrent neural networks by using parallel tabu search algorithm based on crossover operation," Engineering Applications of Artificial Intelligence, Vol. 17, pp. 529-542, Aug., 2004.
4. T. Tambouratzis, "A simulated annealing artificial neural network implementation of the n-queens problem," International Journal of Intelligent Systems. Vol. 12, pp. 739-751, Oct. 1997.
5. Kim, K-J. and Cho, S-B., "Prediction of colon cancer using an evolutionary neural network," Neurocomputing, Vol.61, pp. 361-379, Oct. 2004.
6. Sexton, R. S., Alidaee, B., Dorsey, R. E. and Johnson, J. D., "Global optimization for artificial neural networks: A tabu search application," European Journal of Operational Research, Vol.106, pp. 570-584, April, 1998.
7. Karaboga, D.and Kalinli, A. "Training recurrent neural networks for dynamic system identification using parallel tabu search algorithm," in Proceedings of the 1997 IEEE International Symposium on Intelligent Control, pp.113-118.
8. Dorigo, M., and Gambardella, L. M. "Ant colonies for the traveling salesman problem," BioSystems, Vol. 43, pp. 73-8, 1997.
9. Dorigo, M., Maniezzo, V., and Colomi, A., "The ant system; optimization by a colony of cooperating ants," IEEE Trans. Syst. Man Cybern, Vol.26, pp.29-42, 1996.
10. Christopher M. Bishop, Neural Networks for Pattern Recognition, Oxford University Press, 2004.
11. Simon Haykin, Neural Networks: A Comprehensive Foundation, 2nd Ed., Maomillan College Publishing, New York, 2001.
12. Martí, R. and El-Fallahi, Abdellah, "Multilayer neural networks: an experimental evaluation of on-line training methods," Computers and Operations Research, Vol. 31, pp. 1491-1513, August, 2004.
13. Stutzle, T. and Hoos, H. H., "MAX-MIN ant system," Future Generation Comput. Systems, Vol.16, pp.889-914, 2000.
14. H.M. Botee and E. Bonabeau, "Evolving ant colony optimization", Advances in Complex Systems, vol. 1, no. 2/3, pp.149-159, 1999.