Modeling ph neutralization process via support vector machines

Authors:
Dongwon Kim;Gwi-Tae Park
Affiliations:
Department of Electrical Engineering, Korea University, Seoul, Korea;Department of Electrical Engineering, Korea University, Seoul, Korea
Venue:
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
Year:
2006

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Abstract

This paper discusses the use of support vector machines for modeling and identification of pH neutralization process. Support vector machines (SVM) and kernel method have become very popular as methods for learning from examples. We apply SVM to model pH process which has strong nonlinearities. The experimental results show that the SVM based on the kernel substitution including linear and radial basis function kernel provides a promising alternative to model strong nonlinearities of the pH neutralization but also to control the system. Comparisons with other modeling methods show that the SVM method offers encouraging advantages and has better performance.