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approximate error相关的网络例句

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

A truncated Volterra series expansion, whose polynomial number can be determined by error criteria, was used to model the biomedical signal component. Based on Volterra we proposed an adaptive filter that could approximate and extract the signal in noise corrupted ECG data efficiently.

利用误差准则确定的Volterra序列展开能很好模拟生物信号成份,而基于Volterra序列的自适应滤波器能有效模拟ECG成份从而达到去除信号中噪声的目的。

The learning algorithm utilizes shape functions to approximate influence functions in integral transforms and estimate the control input to reduce repetitive error.

学习法则的补偿项是使用形状函数来趋近积分项中的影响函数,并且估测控制输入。

Besides,the trapezoidal method and parabolic method is used to make approximate calcalation and error estimate of the integral.

同时 ,用梯形法和抛物线法对此积分作了近似计算和误差估

And then hp version discontinuous space-time finite element methods is used for a kind of Volterra integrodifferential parabolic equation with weakly singular kernel.The uniqueness of the approximate solution of the equation and the error estimate for time in L_2 norm and space in L_2 norm is obtained.

其次利用hp间断有限元方法研究一类Volterra偏积分微分方程,证明了离散解的存在唯一性,并得到了时间L_2、空间L_2模的指数型误差估计。

Besides, we apply the approximate minimal mean-square error estimator to the channel estimation.

另一方面,我们采取近似最小误差估计作为通道估计演算法。

By combining model reference adaptive control and neural network control ,a novel model reference adaptive neural network control scheme is proposed for the ship steerings nonlinear model.In the procedure ,the RBF neural networks are used to approximate nonlinear systems;The weights can be achieved by use of Lyapunove approach.To compensate the approximation error and attenuate the external disturbance,a robust technology is introduced to the proposed scheme.

针对船舶航向非线性不确定系统,提出了一种把神经网络和模型参考自适应控制结合在一起的新的控制算法,此算法首先通过系统的已知动态特性设计一个稳定的反馈控制器,然后利用RBF神经网络逼近未知非线性,从而消除不确定性的影响。

Firstly, a class of affine nonlinear systems are considered. The single-layered neural networks are used to approximate the nonlinear functions of the systems. Stable adaptive control algorithms are presented based on system states feedback and system output feedback respectively. The boundary of the tracking error is guaranteed. Then, by using the technique of input-output linearization, the stable adaptive control method for general nonlinear systems is proposed. Finally, the effectiveness of the proposed adaptive control algorithms are verified through the simulation researches for the control of robot manipulator.

首先考虑一类仿射非线性系统,利用单层神经网络去逼近系统的非线性函数,分别给出了基于系统状态反馈和输出反馈的稳定自适应控制算法,确保系统的跟踪误差有界;然后利用输入输出线性化方法,给出广义非线性系统的自适应控制方法;最后通过在机械手位置跟踪控制中的仿真研究,验证了所提方法的有效性。

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采用不同浓度K2CrO4(0,0.4,0.8和1.2 mmol/L)的Hoagland营养液处理黑麦幼苗,测定铬在黑麦体内的亚细胞分布、铬化学形态及不同部位的积累。

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有一个良好的政策环境,房地产,二级和三级市场的发展更加迅速改善。