Research on Modeling Method Based on Least Squares Support Vector Machine

DOI

10.2991/icacsei.2013.159How to use a DOI?

Keywords

Particle swarm optimization algorithm, Support vector machine, Gas sensor, Mathematical modeling

Abstract

A method of support vector machine based on particle swarm optimization was proposed for the question of parameter selecting difficult of least square support vector machine in modeling of gas sensor. Least square support vector machine is used to build the model of gas sensor. Particle swarm optimization arithmetic was introduced to optimize the parameters of support vector machine. The sensor model is tested with the data measured reality. The results prove the accuracy of the model.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jun Xu
AU  - Kang Du
AU  - Yao hui Zhang
AU  - Xiao bing Zhu
PY  - 2013/08
DA  - 2013/08
TI  - Research on Modeling Method Based on Least Squares Support Vector Machine
BT  - Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
PB  - Atlantis Press
SP  - 665
EP  - 667
SN  - 1951-6851
UR  - https://doi.org/10.2991/icacsei.2013.159
DO  - 10.2991/icacsei.2013.159
ID  - Xu2013/08
ER  -