Variance Sensitivity Analysis of Parameters for Pruning of a Multilayer Perceptron : Application to a Sawmill Supply Chain Simulation Model
Joint Authors
Thomas, André
Thomas, Philippe
Suhner, Marie-Christine
Source
Advances in Artificial Neural Systems
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-14
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Information Technology and Computer Science
Abstract EN
Simulation is a useful tool for the evaluation of a Master Production/Distribution Schedule (MPS).
The goal of this paper is to propose a new approach to designing a simulation model by reducing its complexity.
According to the theory of constraints, a reduced model is built using bottlenecks and a neural network exclusively.
This paper focuses on one step of the network model design: determining the structure of the network.
This task may be performed by using the constructive or pruning approaches.
The main contribution of this paper is twofold; it first proposes a new pruning algorithm based on an analysis of the variance of the sensitivity of all parameters of the network and then uses this algorithm to reduce the simulation model of a sawmill supply chain.
In the first step, the proposed pruning algorithm is tested with two simulation examples and compared with three classical pruning algorithms from the literature.
In the second step, these four algorithms are used to determine the optimal structure of the network used for the complexity-reduction design procedure of the simulation model of a sawmill supply chain.
American Psychological Association (APA)
Thomas, Philippe& Suhner, Marie-Christine& Thomas, André. 2013. Variance Sensitivity Analysis of Parameters for Pruning of a Multilayer Perceptron : Application to a Sawmill Supply Chain Simulation Model. Advances in Artificial Neural Systems،Vol. 2013, no. 2013, pp.1-17.
https://search.emarefa.net/detail/BIM-460286
Modern Language Association (MLA)
Thomas, Philippe…[et al.]. Variance Sensitivity Analysis of Parameters for Pruning of a Multilayer Perceptron : Application to a Sawmill Supply Chain Simulation Model. Advances in Artificial Neural Systems No. 2013 (2013), pp.1-17.
https://search.emarefa.net/detail/BIM-460286
American Medical Association (AMA)
Thomas, Philippe& Suhner, Marie-Christine& Thomas, André. Variance Sensitivity Analysis of Parameters for Pruning of a Multilayer Perceptron : Application to a Sawmill Supply Chain Simulation Model. Advances in Artificial Neural Systems. 2013. Vol. 2013, no. 2013, pp.1-17.
https://search.emarefa.net/detail/BIM-460286
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-460286