Improvement of the prediction performance of a soft sensor model based on support vector regression for production of ultra-low sulfur diesel

Title
Improvement of the prediction performance of a soft sensor model based on support vector regression for production of ultra-low sulfur diesel
Authors
Keywords
Soft sensor, Support vector regression, Hybrid optimization method, Vector quantization, Petroleum refinery, Hydrodesulfurization process, Gas oil
Journal
Petroleum Science
Volume 12, Issue 1, Pages 177-188
Publisher
Springer Nature
Online
2015-01-12
DOI
10.1007/s12182-014-0010-9

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