可以通过实验测定和参数估计依次求取这些子网络的速率常数。
The rate constants of these sub-networks can be sequentially determined by experiment and then by parameter estimation.
本文介绍了应用序贯实验设计方法对“B109”型催化剂中温变换反应动力学竞争模型进行模型筛选及参数估计的过程。
In this paper a sequential experimental program used for model discrimination and parameter estimation of kinetic models for the high temperature-shift reaction over "B109" catalyst is presented.
文章的最后还给出了数字实验和噪声测量对参数估计影响的实例。
An example of digital experiment is given and the effect of measurement noise on estimated parameters is also discussed.
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