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。
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.
出处
《化工学报》
EI
CAS
CSCD
北大核心
1995年第3期338-342,共5页
CIESC Journal
关键词
发酵动力学模型
遗传算法
参数辨识
优化
fermentation dynamics model,, genetic algorithm, parameter recognition
