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- W2537425004 abstract "Support vector regression (SVR) is a novel type of learning machine, which has shown to provide better generalization performance than traditional techniques. This thesis introduces a new type of support vector machine for regression (v-SVR), which based on SVR. The new algorithm can control the accuracy of fitness and prediction error by adjusting the parameter v. In the experiments v-SVR is used for soft sensor modeling of fermentation process. The results show that v- SVR has low error rate and better generalization with appropriate v." @default.
- W2537425004 created "2016-10-28" @default.
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- W2537425004 date "2006-01-01" @default.
- W2537425004 modified "2023-09-24" @default.
- W2537425004 title "Research on Soft Sensor Modeling of Fermentation Process Based on v-SVR" @default.
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- W2537425004 doi "https://doi.org/10.1109/icia.2006.305825" @default.
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