A general approach based on evolutionary algorithms to inverse parameter identification problems of PDEs is introduced.
给出了一种利用演化计算方法求解微分方程中的参数识别类型反问题的方法。
Parameter identification problems belong to the partial differential equations inverse problems. They are also common in the field of natural science and engineering.
参数识别反问题是偏微分方程反问题的一类，也是在自然科学与工程技术的各领域比较常见的问题。
During underwater signal processing, parameter estimation and target identification are two kinds of important problems.
在水下信号处理中，参数估计和目标识别是两类非常重要的问题。
During the individual identification in communication signals, parameter estimation and character sorting are two kinds of important problems.
在通信信号个体识别中，参数估计和特征提取是两类非常重要的问题。
For the problems faced with correcting analytical dynamic models of practical structures using results of modal parameter identification, a modified procedure is presented in this paper.
本文针对用模态参数识别结果修正结构理论计算模型所面临着的问题，提出了一个改进的修正过程。
Two problems being frequently improperly dealt with under parameter estimation in model identification are discussed in the paper.
本文讨论的是模型辨识中估计参数时往往处理不当的两个问题。
Simulations also show that the method is applicable to a number of engineering problems for state estimate and parameter identification.
其结果表明，对参数突变的系统，应用该方法进行状态估计或参数辨识，具有很好的跟踪突变参数的效果。
The nonlinear parameter identification of fuel cell polarization curve was converted into two sub-problems of linear least square identification based on interval segmentation technique.
基于区间分段思想，将极化曲线非线性参数辨识转化为两个线性最小二乘辨识子问题。
The nonlinear parameter identification of fuel cell polarization curve was converted into two sub-problems of linear least square identification based on interval segmentation technique.
基于区间分段思想，将极化曲线非线性参数辨识转化为两个线性最小二乘辨识子问题。
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