Pattern recognition using modular neural networks and genetic algorithms

Proceedings of the International Conference on Artificial Intelligence, IC-AI'04

Volumn 1, Issue , 2004, Pages 77-83

  Melin, Patricia ^a   Gonzalez, Felma ^a   Martinez, Gabriela ^a  

^a TIJUANA INSTITUTE OF TECHNOLOGY   (Mexico)

Author keywords

Evolution; Modular Neural Networks; Pattern Recognition; Speech Recognition

Indexed keywords

COMPUTER SCIENCE; COMPUTER SIMULATION; ELECTRIC NETWORK TOPOLOGY; GENETIC ALGORITHMS; LEARNING SYSTEMS; NEURAL NETWORKS; SPEECH RECOGNITION;

EVOLUTION; GENETIC INFORMATION; LARGE-SCALE PROBLEMS; MODULAR NEURAL NETWORKS (MNN);

PATTERN RECOGNITION;

EID: 12744278773     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. G. Barna and K. Kaski, "Choosing optimal network structure", Proceedings of the International Neural Network Conference (INNC90), pp. 890-893, 1990.
2. O. Castillo and P. Melin,"Hybrid Intelligent Systems for Time Series Prediction using Neural Networks, Fuzzy Logic and Fractal Theory", IEEE Transactions on Neural Networks, Vol. 13, no. 6, pp. 1395-1408, 2002.
3. D. J. Chalmers, "The Evolution of Learning: An Experiment in Genetic Connectionism", Proceedings of the 1990 Connectionist Models Summer School, Morgan Kauffinan, 1990.
4. J. Feldman, "Neural representation of conceptual knowledge", in Neural connections, mental computation (Nadel and et al., eds.), MIT Press, 1989.
5. F. Fogelman-Soulie, "Multi-modular neural network-hybrid architectures: a review", Proceedings of 1993 International Joint Conference on Neural Networks, 1993.
6. B. Happel and J. Murre, "Design and evolution of modular neural network architectures", Neural Networks, vol. 7, pp. 985-1004, 1994.
7. R. A. Jacobs, M. I. Jordan, S. J. Nowlan and G. E. Hinten, "Adaptive Mixtures of Local Experts", Neural Computation, vol. 3, pp. 79-87, 1991.
8. R. Jenkins and B. Yuhas, "A simplified neural network solution through problem decomposition: The case of the truck backer-upper", IEEE Transactions on Neural Networks, vol. 4, no. 4, pp. 718-722, 1993.
9. M. I. Jordan and R. A. Jacobs, "Hierarchical Mixtures of Experts and the EM Algorithm", Neural Computation, vol. 6, pp. 181-214, 1994.
10. K. F. Man, K. S. Tang and S. Kwong, "Genetic Algorithms: Concepts and Design", Springer-Verlag, 1999.
11. M. Mitchell, "An Introduction to Genetic Algorithms", MIT Press, 1996.
12. C. Monrocq, "A probabilistic approach which provides and adaptive neural network architecture for discrimination", Proceedings of the International Conference on Artificial Neural Networks, vol. 372, pp. 252-256, 1993.
13. D. J. Montana and L. D. Davis, "Training Feedforward Networks using Genetic Algorithms", Proceedings of the International Joint Conference on Artificial Intelligence, Morgan Kauffman, 1989.
14. H. Simon, The sciences of the artificial, MIT Press, 1981.