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parameter estimation相关的网络例句

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与 parameter estimation 相关的网络例句 [注:此内容来源于网络,仅供参考]

A new method of parameter estimation via Fourier series for time-delay bilinear systems is presented.

摘要本文提出了一种用Fourler级数来估计延时双线性系统模型参数的新方法。

During the inversion of resistivity, special emphases have been placed on two aspects-the estimation of the regularization parameter and the calculation of the Frechet derivative.

在正演与反演过程中,正则化因子的选取和Frechet导数的计算是两项关键内容。

And an expres sion of fugacity coefficient was obtained through multi-parameter estimation.

并通过多参数估值得到了逸度系数的关联式。

In this paper,the research on the parameter estimation of Gamma distribution with three parameters and the test of the location parameters has been made.

该文考虑了混合分布为三参数伽玛分布时的参数估计以及位置参数的检验问题。

In this paper, the application of gradient algorithm for magnetic source parameter estimation is discussed.

这里利用模拟计算的方法对梯度算法在推断磁源参数中的应用进行了讨论。

Parameter Estimation and the applications in handwriting character recognition of 2-D stationary HMMs were discussed in this paper.

本文讨论了二维平稳隐马氏模型参数估计及其在文字识别中的应用。

At first, with the low-frequency data measured, three of the LRE fault detection systems for the real-time condition are proposed using the nonlinear identification technology of the BP neural network, the state estimation technology of the dynamic neural network, and the pattern recognition technology of the fuzzy hypersphere neural network. The learning algorithms of the BP and dynamic neural network are researched at the same time. Furthermore, while the engine operation is divided into the start and steady-state processes, the real time ability, the response time, the accuracy, the robustness, the sensitivity and the monitoring parameter optimization are studied. In the test data analyses of the YF-75 engine, the detection system correctly carried out for all normal tests, and in the three abnormal tests the engine faults were accurately forecasted.

首先,基于低频测量数据,采用BP神经网络的非线性辨识技术、动态神经网络的状态估计技术及模糊超球神经网络的模式识别技术,提出了三种发动机故障实时检测系统;同时研究了BP神经网络和动态神经网络的学习算法;另外还把发动机工作分为启动过程和稳态过程,分别讨论了神经网络故障检测系统的实时性、及时性、准确性、鲁棒性、敏感性及参数优化问题;在YF-75发动机试车数据分析中,不仅全部正确地监测了正常试车过程,而且准确地预报了三次异常试车中的发动机故障。

This thesis proposes another approach, which makes the phase current be inphase with each phase back-EMF respectively by tuning a parameter in the new sensorless algorithm at the steady state to intentionally produce rotor position estimation error.

此外,为了提升稳态时马达的运转效率,本论文提出一个参数调整机制,刻意的使估测结果产生误差,使各相电流能与反抗电动势同相。

Moreover we derive the method to get interval estimation of the shape parameter.

主要结果如下:(1)给出了参数的近似极大似然估计和逆矩估计,比较了AMLE、MLE和逆矩估计的精度,另外给出了求形状参数区间估计的方法。

When sample size is not large, conclusion shows that the precision of the interval estimation of parameter is remarkably increasing if the data from Tables in this paper are used.

通过计算比较,得出结论:在小样本的情况下,用本文所求的置信区间作为未知参数的区间估计将会使估计精度得到显著的提高。

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