华侨大学学报（自然科学版）2013，Vol.34Issue(1)：22-25,4.
基于相关向量机的赖氨酸反应过程参数软测量
Soft Sensor of Lysien Fermentation Biological Parameters Based on Relevance Vector Machine
摘要
Abstract
To overcome the high computational complexity and difficulty in design kernel parameters of support vector machine, the soft sensor model of lysien fermentation biological parameters is proposed based on relevance vector machine. According to procedure experience, dissolved oxygen, the parameters of pH value, discharge rate of CO2, absorption rate of O2, and flow acceleration rate of glucose are chosen as auxiliary variables, and the concentration of matrix, thallus and product are chosen as primary variables. The soft sensor of lysien fermentation procedure is built using the fitting and generalization capacity. The experiments results show that the obtained soft sensor is with high fitting precision and generalization capacity, which well satisfies the control requirement of lysien fermentation procedure.关键词
L-赖氨酸/相关向量机/软测量/贝叶斯方法Key words
L-lysien/ relevance vector machine/ soft sensor/ Bayesian method分类
化学化工引用本文复制引用
嵇小辅,张孟尧,王博,黄丽..基于相关向量机的赖氨酸反应过程参数软测量[J].华侨大学学报（自然科学版）,2013,34(1):22-25,4.基金项目
江苏省自然科学基金资助项目(BK2011465) （BK2011465）
轻工过程先进控制教育部重点实验室开放课题资助项目(APCLI1009) （APCLI1009）
江苏省高校优势学科建设工程科研基金资助项目(苏政发(2011)6号) （苏政发(2011）
