CIESC Journal

• 化工学报 • 上一篇    下一篇

用遗传算法辨识发酵动力学模型参数

蔡煜东,陈常庆   

  1. 中国科学院上海冶金研究所!上海200050,中国科学院上海生物工程研究中心!上海200233
  • 出版日期:1995-06-25 发布日期:1995-06-25

RECOGNITION OF PARAMETERS IN FERMENTATION DYNAMICS MODEL BY GENETIC ALGORITHM

Cai Yudong(Shanghai Institute of Metallurgy, Chinese Academy of Sciences,Shanghai 200233)Chen Changqing(Shanghai Research Center of Technology, Chinese Academy of Sciences, Shanghai 200233)   

  • Online:1995-06-25 Published:1995-06-25

摘要: 提出发酵动力学模型参数辨识的遗传算法,并对典型模型进行了具体尝试。结果表明,遗传算法估计参数效果很好,优于麦夸脱方法。

Abstract: Genetic algorithm was used to estimate parameters in fermentation dynamic model and its effectiveness was tested with three typical models; 1. Equation for the density of bacteria body. 2. Equation for base consumption. 3. Equation for products. The estimation results obtained are better than those by using Marquardt Approach. Therefore, this genetic algorithm is good, might be regard as an effective tool for the recognition of fermentation dynamic model if properly used.

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