| 一种建立发酵过程模型的新方法 |
| |
| 引用本文： | 高学金,王普,孙崇正,易建强,张亚庭,张会清.一种建立发酵过程模型的新方法[J].北京工业大学学报,2006,32(5):405-409. |
| |
| 作者姓名： | 高学金 王普 孙崇正 易建强 张亚庭 张会清 |
| |
| 作者单位： | 1. 北京工业大学,电子信息与控制工程学院,北京,100022
2. 中国科学院复杂系统与智能科学重点实验室,北京,100033 |
| |
| 基金项目： | 教育部科学技术研究重点项目（203002）;北京市教育委员会科技发展计划面上项目（KM200510005026）. |
| |
| 摘 要： | 为了建立精确的微生物发酵过程数学模型,在标准回归型支持向量机(SVM)的基础上提出了动态ε- SVM方法。即不同样本使用不同的ε;使用改进的多目标遗传算法(MOGA)自动选择动态ε-SVM的参数．将改进的MOGA和回归型动态ε-SVM结合形成一种新的建模方法,利用现场生产数据建立了青霉素效价预估模型．结果表明此方法具有较强的拟合和泛化能力．经过对比,本文方法比基于MOGA和标准SVM的建模方法具有更强的泛化能力．
|
| 关 键 词： | 动态ε-SVM 遗传算法 发酵 数学模型 |
| 文章编号： | 0254-0037(2006)05-0405-05 |
| 收稿时间： | 09 5 2005 12:00AM |
| 修稿时间： | 2005年9月5日 |
A New Effective Method on Modeling for Fermentation Process |
| |
| GAO Xue-jin,WANG Pu,SUN Chong-zheng,YI Jian-qiang,ZHANG Ya-ting,ZHANG Hui-qing.A New Effective Method on Modeling for Fermentation Process[J].Journal of Beijing Polytechnic University,2006,32(5):405-409. |
| |
| Authors: | GAO Xue-jin WANG Pu SUN Chong-zheng YI Jian-qiang ZHANG Ya-ting ZHANG Hui-qing |
| |
| Affiliation: | 1. College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022, China; 2. The Key Laboratory of Complex System and Intelligence Science, Chinese Academy of Sciences, Beijing 100033, China |
| |
| Abstract: | On the basis of the standard SVM for regression, the dynamic ε-SVM method was proposed to establish precise mathematical models to describe the behavior of biochemistry systems, namely each training sample used different error. At the same time, an improved multi-objective Genetic Algorithm (MOGA) was used to automatically select the dynamic ε-SVM parameters. A new modeling method that combined improved MOGA with dynamic ε-SVM regression was presented. The model for titer pre-estimate was developed in Matlab6.5 with data collected from real plant. The model possessed the strong capability of fitting and generalization. It is shown that the method achieves significant improvement in the generalization performance in comparison with the modeling method based on MOGA and the standard SVM. |
| |
| Keywords: | dynamic ε-SVM genetic algorithms fermentation mathematical models |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
