Peer-reviewed journal articles indexed in international databases

  1. Régis Lengellé, T Denoeux,
    Training Multilayer Perceptrons Layer by layer using an Objective Function for Internal representations.
    Neural networks 9(1), 83–98.
    1996.
  2. T Denoeux, Régis Lengellé,
    Initializing back propagation networks with prototypes.
    Neural networks 6, 351–363.
    Elsevier, 1993.

Unindexed proceedings articles

  1. M Karouia, Régis Lengellé, T Denoeux,
    Performance analysis of a MLP weight initialization procedure.
    ESANN'95, Bruxelles, AVRIL 1995.
    1995.
  2. M Karouia, T Denoeux, Régis Lengellé,
    Influence of weight initialization on generalization performance.
    ICANN'95, Paris, OCTOBRE 1995.
    1995.
  3. M Karouia, Régis Lengellé, T Denoeux,
    Weight initialization in BP networks using discriminant analysis techniques.
    Neuro-Nimes, Nimes, DECEMBRE 1994.
    1994.
  4. M Karouia, Régis Lengellé, T Denoeux,
    Performance comparison of two constructive algorithms for multilayer perceptrons.
    ANNIE'93, -, - 1993.
    1993.
  5. F Qendro, Régis Lengellé, T Denoeux, Paul Gaillard,
    Interpolation of stationary non linear time series by an optimized neural network.
    ICANN'93, Amsterdam, SEPTEMBRE 1993.
    1993.
  6. T Denoeux, Régis Lengellé,
    Automatic construction of multilayer networks for non linear regression.
    ICANN'93, Amsterdam, SEPTEMBRE 1993.
    1993.
  7. T Denoeux, Régis Lengellé,
    Production rules generation and refinement in back-propagation networks.
    ANNIE'92, Saint-Louis, NOVEMBRE 1992.
    1992.
  8. Régis Lengellé, T Denoeux,
    Optimizing multilayer networks layer per layer without backpropagation.
    ICANN'92, Brighton, SEPTEMBRE 1992.
    1992.
  9. T Denoeux, Régis Lengellé, S Canu,
    Initialization of weights in a feedforward network using prototypes.
    ICANN-91, Espoo, JUIN 1991.
    1991.