Hopfield Neural Network for Microscopic Evacuation of Buildings

Boutheina Amina Aoun, Hend Bouziri, Zouhour Neji Ben Salem

2012

Abstract

The problem of evacuation raised a lot of interest as its objective of saving lives is of an extreme importance. In this context, many researches supplied solutions allowing to plan the process of evacuation in case of disaster. Certain solutions took into account the behavior of the crowd, while others treated the evacuees in an independent way. For that purpose, we dedicate our study to this last type of evacuation, namely the microscopic evacuation. Our approach is based on the artificial neural networks which we considered capable of generating a human behavior thanks to their neuronal aspect. We proposed a solution capable of planning a microscopic evacuation of building by having recourse to Hopfield neural networks. We supplied an experimental study on the real cases of two hospitals. This study also brought a comparison of our model with another neuronal model for evacuation which is the self organizing map.

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Paper Citation


in Harvard Style

Amina Aoun B., Neji Ben Salem Z. and Bouziri H. (2012). Hopfield Neural Network for Microscopic Evacuation of Buildings . In Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: NCTA, (IJCCI 2012) ISBN 978-989-8565-33-4, pages 576-581. DOI: 10.5220/0004168905760581


in Bibtex Style

@conference{ncta12,
author={Boutheina Amina Aoun and Zouhour Neji Ben Salem and Hend Bouziri},
title={Hopfield Neural Network for Microscopic Evacuation of Buildings},
booktitle={Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: NCTA, (IJCCI 2012)},
year={2012},
pages={576-581},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004168905760581},
isbn={978-989-8565-33-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: NCTA, (IJCCI 2012)
TI - Hopfield Neural Network for Microscopic Evacuation of Buildings
SN - 978-989-8565-33-4
AU - Amina Aoun B.
AU - Neji Ben Salem Z.
AU - Bouziri H.
PY - 2012
SP - 576
EP - 581
DO - 10.5220/0004168905760581