The research of fermentation process modeling based on fuzzy least square support vector machine
Journal Title: Science Paper Online - Year 2008, Vol 3, Issue 1
Abstract
The Penicillin Fermentation process is usually characterized as time varying and nonlinear dynamic. It is very difficult to measure the mycelia concentration online. The least square support vector machine (LS-SVM) modeling method could improve the predict speed, but reduced the predict precision. The idea of fuzzy membership is introduced into the method of LS-SVM. The fuzzy least square support vector machine (FLS-SVM) uses a fuzzy membership which is based on the distance of cluster center. This method is applicated to mycelia predict of penicillin fermentation modeling. The simulation results show that the higher predict accuracy and better performance can be abtained by FLS-SVM than by LS-SVM.
Authors and Affiliations
WANG Wenxia PAN Feng
Keywords
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