Wang Ya-jing
School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo, Shandong, 255049, China
Du Jian-jun
Institute of Zaozhuang Building Materials Science, Zaozhuang, Shandong, 277101, China
Dou Zhen-hai
School of Electrical and Electronic Engineering, Shandong University of Technology, Zibo, Shandong, 255049, China
ABSTRACT
In order to improve the accuracy of inversion Particle Size Distribution (PSD) in the Photon Correlation Spectroscopy (PCS) technology, considering non-negative characteristic of PSD, based on Tikhonov regularization method, two non-negative constraint methods of trust-region (Trust) and Interior Point Newton (IPN) are compared in this study. Combining characteristics of two methods, an inversion method of Trust-IPN-Tikhonov is proposed. This method inherits the advantages of the Trust-Tikhonov and IPN-Tikhonov. The inversion results of simulation data and experimental data demonstrate that Trust-IPN-Tikhonov has smaller peak error, relative error and narrower distribution width than IPN-Tikhonov, compared with the Trust-Tikhonov, Trust-IPN-Tikhonov has not only smaller peak error and relative error but also better smoothness. All in all, Trust-IPN-Tikhonov has higher accuracy, better smoothness and is more consistent with the true distribution.
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How to cite this article
Wang Ya-jing, Du Jian-jun and Dou Zhen-hai, 2013. Non-negative Tikhonov Regularization Inversion Combining Trust-region with Interior Point Newton for Photon Correlation Spectroscopy. Information Technology Journal, 12: 4864-4869.
DOI: 10.3923/itj.2013.4864.4869
URL: https://scialert.net/abstract/?doi=itj.2013.4864.4869
DOI: 10.3923/itj.2013.4864.4869
URL: https://scialert.net/abstract/?doi=itj.2013.4864.4869
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