Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)

Research on Modeling Method Based on Least Squares Support Vector Machine

Jun Xu, Kang Du, Yao hui Zhang, Xiao bing Zhu
Corresponding author
Particle swarm optimization algorithm, Support vector machine, Gas sensor, Mathematical modeling
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.
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