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Simulation is often used to evaluate the relevance of a Directing Program ofProduction (PDP) or to evaluate its impact on detailed sc\'enarii ofscheduling. Within this framework, we propose to reduce the complexity of amodel of simulation by exploiting a multilayer perceptron. A main phase of themodeling of one system using a multilayer perceptron remains the determinationof the structure of the network. We propose to compare and use various pruningalgorithms in order to determine the optimal structure of the network used toreduce the complexity of the model of simulation of our case of application: asawmill.

S\'election de la structure d'un perceptron multicouches pour la r\'eduction dun mod\`ele de simulation d'une scierie