Multilayer perceptron for simulation models reduction: application to a sawmill workshop

The article is structured as follows: the second section highlights some aspects on bayesian networks and particularly on bayesian network classifiers; the third

Dans le chantier sud-est, nous avons discerné plusieurs types de sédiments : des alluvions grossières, contenant 80 % de gravillons et 20 % de silts lœssiques et des séquences

This paper addresses the question of the weakest failure detector to solve consensus among a number k > n of processes that communicate using shared objects of a type T with

To evaluate the performance of the proposed MLP network a state-of-the-art CNN [10] was selected. The CNN was trained on the pre-processed MIT-BIH dataset for 50 epochs and

These pertain to the interaction of passenger traffic and vehicle traffic: vehicle seat capacity drives the internal comfort, vehicle total capacity

(2009) propose a reduction model approach based on the aggregation of machines on the production line. They build a complete model of the production line and, if the

The main goal of this paper is to investigate how discrete data may be use during learning process in order to assure the quality of neural network used in

According to theory of constraints, we want to build reduced models composed exclusively by bottleneck and, in order to do that, a neural network, particularly a