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Mujahed AL-DHAIFALLAH Kottakkaran Sooppy NISAR Praveen AGARWAL Alaa ELSAYYAD


In this paper, Hammerstein model and Nonlinear AutoRegressive with eXogeneous inputs (NARX) model are used to represent tubular heat exchanger. Both models have been identified using least squares support vector machines based algorithms. Both algorithms were able to model the heat exchanger system without requiring any apriori assumptions regarding its structure. The results indicate that the blackbox NARX model outperforms the NARX Hammerstein model in terms of accuracy and precision.

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AL-DHAIFALLAH, Mujahed et al. MODELING AND IDENTIFICATION OF HEAT EXCHANGER PROCESS USING LEAST SQUARES SUPPORT VECTOR MACHINES. Thermal Science, [S.l.], mar. 2017. ISSN 2334-7163. Available at: <>. Date accessed: 23 june 2017. doi:
Received 2017-03-02
Accepted 2017-03-13
Published 2017-03-13


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