Classification and feature selection by a self-organizing neural network

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1606, Issue , 1999, Pages 651-660

  Ribert, Arnaud ^a   Stockcr, Emmanuel ^a   Ennaji, Abdel ^a   Lccourtier, Yves ^a  

^a UNIVERSITÉ DE ROUEN   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER RECOGNITION; FEATURE EXTRACTION; GENETIC ALGORITHMS; NEURONS;

BUILDING METHODS; BUILDING PRINCIPLES; DECISION RULES; FEATURE SELECTION METHODS; HANDWRITTEN DIGIT RECOGNITION; LINEAR DISCRIMINATION; NON-SEPARABLE PROBLEMS; SELF-ORGANIZING NEURAL NETWORK;

NEURAL NETWORKS;

EID: 84957671078     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/BFb0098223     Document Type: Conference Paper

References (19)

1. Bellman R., "Adaptive control processes", Princeton University Press, Princeton, New Jersey, 1961.
2. Belew R.K., Mc Inerney J., Schraudolph N.N., "Evolving network: using the genetic algorithm with connectionnist learning". In Langton C.G., Taylor C., Farmer J.D., Rasmussen (Eds.), Artificial life I1, SFI studies in tile sciences of complexity, Vol 10, Addison-Wesley, Reading, pp. 511-547, 1991.
3. Chentouf R., Jutten C., "Incremental learning with a stopping creterion experimental results". In J. Mira, F. Sandoval (Eds.), Proceedings oflwann'95, New-York: Springer-Verlag, New- York: Springer-Verlag, pp. 519-526, 1995.
4. Devijver P.A., Kittler J., "Pattern recognition: a statistical approach", Prentice-Hall; London, 1982. Frean M., "The upstart algorithm: a method for constructing and training feedforward neural networks", Neural Computation, Vol. 2, pp. 198-209, 1990.
5. Gallant S.I., "Optimal linear discriminants", In IEEE Proceedings of the 8 th Conference on Pattern Recognition VoL2 (pp. 849). New-York: IEEE, 1986.
6. Goldberg D.E., "Genetic algorithms in search, optimization, and machine learning". Reading, Massachusetts: Addison-Wesley, 1989.
7. Hassibi B. Stork D.G., Wolff G.J., "Optimal brain surgeon". In Proceedings of the 1993 IEEE hlternational Conference on Neural Networks Vol 1,. New-York; IEEE, pp. 293-299, 1993.
8. Heutte L., Moreau J.V., Paquet T., Lecourtier Y., Olivier C., "Combining Structural and statistical features for the recognition of handwritten characters", 13thlnternat. Conf. on Pattern Recog., Vol. 2, Vienne, pp. 210-214, 1996.
9. Hirose Y., Yamashita K., Hijiya S., "Back-propagation algorithm which varies the number of hidden units", Neural Networks, Vol. 4, pp. 61-66, 1991.
10. Ho Y-C, Kashyap R.L., "An algorithm for linear inequalities and its applications", IEEE Transactions mt Elec. Comp., Vol. 14, pp. 683-688, 1965.
11. Knerr S., Personnaz L., Dreyfus G., "Single-layer learning revisited: a slepwise procedure for building and training a neural network", in F. Fogehnan Soulie, J. lterault (Eds.), Neurocomputing, NATO ASI Series, Series F, Vol. 68,. New-York: Springer-Verlag, pp. 41- 50, 1990.
12. LeCun Y., Denker J.S., Solla S.A.o "Optimal Brain Damage", Procedings of the Neural Information Processing System-2. D.S. Touretzky Ed., Morgan-Kaufmann, pp. 598-605, 1990.
13. Lis J., "The synthesis of the ranked neural networks applying genetic algorithm with the dynamic probability of mutation". In J. Mira, F. Sandoval (Eds.), Proceedings of Iwann'95, New-York: Springer-Verlag, pp. 498-504, 1995.
14. Minsky M., Papert S. "Perceptrons", MIT Press, Cambridge (MA), 1969.
15. Ribert A., Stocker E., Lecourtier Y., Ennaji A. "Optimizing a Neural Network Architecture with an Adaptive Parameter Genetic Algorithm". In Proceedings of Iwann'97, J. Mira, R. Morcno and J. Cabestany Eds, Springer Verlag, Berlin, Vol. 1240, pp. 527-535, 1997.
16. Ribert A., "Structuration 6volutive de donn6es: application b. la construction de elassifieurs distribu6s", Ph.D. Thesis, University of Rouen, France, 1998.
17. Rosenblatt F., "Perceptron simulation experiments", Proceeding of the IRE, 3, 48, 1960.
18. Stocker E., Lecourtier Y., Ennaji A., "A distributed classifier based on Yprel networks cooperation". In Proceedings ofhvann'95, pp. 330-337, 1995.
19. Stockcr E., Ribert A., Lecourtier Y., Ennaji A., "An incremental distributed classifier building". In 13th International Conference on Pattern Recognition (ICPR'96) Vol 4, (pp. 128-132). Washington: IEEE Computer Society Press, 1996.