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.
就新的参数估计方法所提出多个适应度函数，进行了性能对比的模拟实验。
Based on the new parameter estimating method, we present several fit-functions, and make simulating experiments for the performance contrast.
实验结果表明，该算法是一种有效的系统模型参数估计方法。
The experiment results show that particles swarm optimization is an effective method for parameter estimation of system model.
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...
该方法应用于催化裂化十集总动力学模型轻循环油反应网络动力学参数估计，降低了搜索算法对初值和实验误差的要求，保证了收敛稳定性。
The new method not only lowered the requirements to initial values, but also insured the convergence stability in using it to predict the parameters of the rate consta…
实验结果表明该方法切实有效，计算量小，参数估计精度高。
Experimental results show that the proposed method is effective with low complexity and high accuracy.
实验结果表明该方法切实有效，计算量小，参数估计精度高。
Experimental results show that the proposed method is effective with low complexity and high accuracy.
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