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Computer Science > Neural and Evolutionary Computing

arXiv:0812.1094 (cs)
[Submitted on 5 Dec 2008]

Title:Sélection de la structure d'un perceptron multicouches pour la réduction dun modèle de simulation d'une scierie

Authors:Philippe Thomas (CRAN), André Thomas (CRAN)
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Abstract: Simulation is often used to evaluate the relevance of a Directing Program of Production (PDP) or to evaluate its impact on detailed scénarii of scheduling. Within this framework, we propose to reduce the complexity of a model of simulation by exploiting a multilayer perceptron. A main phase of the modeling of one system using a multilayer perceptron remains the determination of the structure of the network. We propose to compare and use various pruning algorithms in order to determine the optimal structure of the network used to reduce the complexity of the model of simulation of our case of application: a sawmill.
Comments: 7 pages
Subjects: Neural and Evolutionary Computing (cs.NE)
Cite as: arXiv:0812.1094 [cs.NE]
  (or arXiv:0812.1094v1 [cs.NE] for this version)
  https://doi.org/10.48550/arXiv.0812.1094
Journal reference: Conférence Internationale Francophone d'Automatique CIFA'08, Bucarest : Roumanie (2008)

Submission history

From: Philippe Thomas [view email] [via CCSD proxy]
[v1] Fri, 5 Dec 2008 08:49:53 UTC (184 KB)
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