Taking the typical metabolic control product-guanosine as an example, the method of metabolic flux shift investigation based on process multi-levels parameter correlation analysis was established.
以典型的代谢控制发酵产品鸟苷为例说明了一种基于过程参数的相关分析来研究发酵过程中代谢流迁移的方法。
After finishing the analysis of correlation parameter, we construct the model of fund distributing, and seek the satisfying solve of the problem with Nonlinear programming.
在完成相关参数的分析后，构造经费分配的数学模型，运用非线性规划，求问题的满意解。
Parameter study of Bayesian network is investigated. According to the methods of example statistics and correlation analysis, Bayesian diagnosis model of body deviation is established.
对贝叶斯网络的参数学习进行了探讨，结合实例统计和相关性分析建立了车身偏差诊断的贝叶斯网络模型。
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