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Neural networks

  1. M. Karouia, T. Denoeux, and R. Lengellé. Influence of weight initialization on multilayer perceptron performance. In International Conference of Artificial Neural Networks (ICANN'95), volume 1, pages 33-38, Paris, October 1995. EC2. pdf
  2. M. Karouia, T. Denoeux, and R. Lengellé. Performance analysis of a MLP weight initialization algorithm. In Third European Symposium on Artificial Neural Networks (ESANN'95), pages 347-352, Brussels, April 1995. D facto publications. pdf
  3. T. Trautmann and T. Denoeux. BungySOM: A constructive algorithm for self-organizing maps. In Neural Networks and their Applications, pages 445-452, Marseilles, France, December 1994. IUSM.
  4. M. Karouia, R. Lengellé, and T. Denoeux. Weight initialization in BP networks using discriminant analysis techniques. In Neural Networks and their Applications, pages 171-180, Marseilles, France, December 1994. IUSM.
  5. M. Karouia, R. Lengellé, and T. Denoeux. Performance comparison of two constructive algorithms for multilayer perceptrons. In C. H. Dagli, L. I. Burke, B. R. Fernandez, and J. Ghosh, editors, Intelligent Engineering Systems through artificial neural networks Vol. 3, pages 221-226. ASME Press, New-York, 1993.
  6. T. Denoeux and R. Lengellé. Production rules generation and refinement in BP networks. In C. H. Dagli, L. I. Burke, and Y. C. Shin, editors, Intelligent Engineering Systems through artificial neural networks Vol. 2, pages 253-258. ASME Press, New-York, 1992. pdf
  7. T. Denoeux. Generation of symbolic rules in back-propagation networks. In I. Aleksander and J. Taylor, editors, Artificial Neural Networks II, pages 711-714. North-Holland, Amsterdam, 1992.
  8. R. Lengellé and T. Denoeux. Optimizing multilayer networks layer per layer without back-propagation. In I. Aleksander and J. Taylor, editors, Artificial Neural Networks II, pages 995-998. North-Holland, Amsterdam, 1992.
  9. H. Wiklicky, T. Denoeux, A. Lafuente, J. Olarte, S. Rementeria, and V. Walravens. A tripartite framework for artificial neural networks. In I. Aleksander and J. Taylor, editors, Artificial Neural Networks II, pages 1031-1034. North-Holland, Amsterdam, 1992.
  10. R. Lengellé, Y. Hao, N. Schaltenbrand, and T. Denoeux. Ambiguity and distance rejection in multilayer neural networks. In C. H. Dagli, S. R. T. Kumara, and Y. C. Shin, editors, Intelligent Engineering Systems Through Artificial Neural Networks, pages 299-304, New-York, 1991. ASME Press.
  11. T. Denoeux, R. Lengellé, and S. Canu. Initialization of weights in a feedforward neural network using prototypes. In T. Kohonen, K. Mäkisara, O. Simula, and J. Kangas, editors, Artificial Neural Networks, pages 623-628, Amsterdam, 1991. North-Holland.

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