He prefers to look at an international sample rather than data on single countries, because that enables more robust identification of the impact of ageing.
他更愿意考察国际样本而不仅是一个国家的数据，因为这样就可以更可靠的识别老龄化的影响。
A new set membership identification algorithm was proposed for the robust identification problem of nonlinear dynamic systems with unknown but bounded noises.
针对带有未知有界噪声的非线性动态系统的鲁棒辨识问题，提出了一种新的非线性动态系统的集员辨识算法。
Measuring the press and release times of keystrokes is an important step to adding more robust identification features in this application designed to monitor keystroke dynamics.
在这个监视击键力度的应用程序中，测量击键的按下和释放时间对于添加更健壮的识别功能非常重要。
In order to overcome the disturbance of noises, a robust identification method of water quality model parameters namely trust region algorithm based on M-estimation is proposed.
为了克服随机噪声对河流水质模型参数估计的干扰，提出了一种水质模型参数的鲁棒估计方法，即基于M -估计的信赖域算法。
Further, a robust risk culture will allow for faster identification and pursuit of opportunities in line with the company's defined risk appetite.
进一步说，一个强大的风险管理文化将能使公司在确定风险偏好的同时尽快地认识和捕捉机会。
To identification the model structures of helicopter efficiently, a new robust criterion for model structure selection is developed.
提出了一砷能有效地对直升机模型进行辨识的鲁棒选择模型的新方法。
Robust time delay estimation method based on least mean p-norm blind channel identification(BCILMP) was proposed and applied to estimate the propagation velocities of GEA.
根据分数低阶统计量理论，本研究提出一种基于最小平均p范数盲信道辨识的韧性时间延迟估计算法（BCILMP），对胃电信号传导速率进行估计。
Time series modeling and identification techniques were analyzed and the ARMA time series model based on robust LS-SVM algorithm was proposed.
对时序数据建模与辨识技术进行了分析，提出了使用鲁棒LS-SVM算法建立ARMA时序预测模型。
An online adaptive fuzzy neural network identification and robust control approach were proposed for the adaptive control problem of SISO nonlinear system.
针对单输入单输出非线性系统的自适应控制问题，提出了一种在线自适应模糊神经网络辨识与鲁棒控制的方法。
A hybrid robust adaptive control based on fuzzy identification for a class of multiple-input -multiple-output nonlinear systems was proposed with plant unknown and external disturbances.
针对一类多输入多输出不确定非线性系统，提出一种基于模糊辨识的混合鲁棒自适应控制方法。
In order to obtain the dynamic model of the process to be used by robust PID, closed-loop model identification algorithm in frequency domain is researched.
为了获得鲁棒pid参数整定所需的过程模型，进行了闭环频域模型辨识的研究。
Using identification of neural networks, a new method of robust iterative learning control algorithm is proposed in the paper.
在神经网络辨识的基础上，提出一种新的鲁棒迭代学习控制方法。
To solve the problem of the robust prediction of neural networks, the paper proposed a universal method of nonlinear model identification.
为了实现神经网络预测模型的鲁棒预测，提出一种基于非线性偏自相关的一般化预测模型辨识方法。
In this paper, the problem on robust learning algorithm of the neural networks for system identification is discussed.
讨论系统辨识神经网络算法的鲁棒性问题。
It is proved that identification rate of the algorithms is more than95%and robust of them is super to vector quantization approach.
新算法的辨认率达到95%以上，抗噪性能也优于矢量量化法。
It is proved that identification rate of the algorithms is more than95%and robust of them is super to vector quantization approach.
新算法的辨认率达到95%以上，抗噪性能也优于矢量量化法。
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