查询词典 mean square root

Maincharacteristics of time-domain, such as direct-current, positivepeak value, root-mean-square are gotten.

时域的主要特性有直流、正峰、均方根等进行数值测量。

The case of uniform illumination is simulated and it is found that the method can recover Zernike coefficients of the original phase well while avoiding complicated boundary condition and reducing computation time, and furthermore the root-mean-square value between the corrected phase and the original phase is acceptable even when noise is added.

对均匀照明的情形进行了仿真，发现该方法不仅可以避免复杂的边界条件，减少运算时间，而且还能够较好地恢复出原始波前的泽尼克系数，即便在加噪的情况下，修正相位与原始相位的均方根误差也在可以接受的范围内。

Thanks to this scheme, the phase, root-mean-square value, frequency, and waveform of the output sinewave voltage can be controlled precisely and the system has excellent steady-state performance, fast dynamic response performance, fast and reliable current cut-off protection function.

提出了一种新的适应"模块化"要求的高性能逆变电源控制方案，该方案是一种带有输出电压相位控制及负载电流前馈控制的多环反馈控制方案，能对输出正弦波电压的相位、有效值、频率、波形进行精确控制，使系统具有良好的稳态、动态特性以及快速可靠的截流保护功能。

At last, the VNNTF networks learning algorithm is designed, and a single-step and multi-step prediction of traffic flow chaotic times series is researched by VNNTF networks, the VNNTF networks predictive performance is better than the BP networks and Volterra functional model by the simulation results and root-mean-square value.

最后，设计了VNNTF网络学习算法，利用VNNTF网络对交通流量混沌时间序列进行了单步和多步预测，与BP网络和Volterra模型的预测结果比较，取得了相当好的预测效果。

Finally, the average value, root-mean-square value, maximum, minimum, spike factor of wind force, wind force moment are analyzed to studied the mutually interference influences to the base force of high buildings and group of buildings.

最后分析不同状态下风力、风力矩的平均值、均方根值、最大值、最小值和峰值因子，探讨了风荷载下高层建筑的相互干扰和群楼对建筑物风力影响。

First, the traffic flow time series chaotic feature is extracted by chaos theory. pretreatment for traffic flow time series, and the wavelet neural networks model was build by this. Second, the chaotic mechanism and the chaotic probability is described. Based on chaotic learning algorithm, and the wavelet neural networks fast learning algorithm of traffic flow time series is designed based on chaotic algorithm. Last, a single-step and multi-step prediction of traffic flow chaotic time series is researched by BP neural networks, wavelet neural networks and wavelet neural networks based on chaotic algorithm. The results showed that the wavelet neural networks predictive performance is better than the BP networks and the wavelet neural networks by the simulation results and root-mean-square value.

首先，通过混沌理论提取了交通流量时间序列的混沌特征，并在此基础上建立了小波神经网络交通流量时间序列模型；接着，阐述了混沌学习算法的混沌机理、混沌产生的概率，设计了基于混沌算法的小波神经网络交通流量混沌时间序列快速学习算法；最后利用交通流量混沌时间序列对BP网络、非混沌算法的小波神经网络以及基于混沌算法的小波神经网络进行了单步预测和多步预测，并对预测结果的仿真图和真实值与预测值的方均根进行了比较，结果表明基于混沌学习算法的小波神经网络的预测性能明显优于应用BP网络和非混沌算法的小波神经网络。

Possible to measure DC/RMS/PEAK, realizing the "true root-mean-square value" with 30 mA as the maximum RMS

内置7种测试电路网，可用于测试常规电气设备仪器的接触电流。

A class of fast-scale bifurcations appearing around the maximum value of the input voltage is discovered for the first time by experiment. Then the influence of the fast-scale bifurcations on the performance of the PFC converters is discussed. Whether the fast-scale bifurcations will appear and how wide the bifurcation region depend on the characteristics of the current loop output. Therefore, the main factors that affect the current loop output are analyzed, including the current loop parameters, inductance, and root-mean-square value of the input voltage.

通过实验，该文首次发现了一类在输入电压最大值附近发生的快时标分岔；详细讨论了快时标分岔对PFC变换器性能的影响；由于电流环输出的特点决定了变换器是否会出现快时标分岔以及分岔区域的大小，该文分析了影响电流环输出的主要因素，包括电流环参数、电感值和输入电压有效值。

In this method, the decision-making variables of GA are the unknown quantities of the non-linear equations, the target function for optimization is the minimum of the root-mean-square error between the computational value on the left and the real value on the right in equations, and the initial value is generated randomly in the feasible fields of the decision-making variables.

该算法以非线性方程组的待求量为决策变量，方程组两端向量的均方差最小值为目标函数，初值在决策变量可行域内随机产生。

At last, by the simulation results and root-mean-square value, the traffic FIRTF neural networks learning and prediction owned on a better advantages, because that the traffic flow FIRTF and the adaptive algorithm combination integrated gda-BP networks, gdm-BP networks, gda-feedback-BP networks and gdm-feedback-BP networks of the four characteristics.

最后，通过交通流量时间序列数据进行了试验分析，说明交通流量FIRTF神经网络以及其于混沌机理的交通流量FIRTF自适应算法综合了gda-BP网络、gdm-BP网络、gda-feedback-BP网络和gdm-feedback-BP网络的特点，使得交通流量FIRTF神经网络在训练和预测的速度上占有很大的优势。

According to the clear water experiment, aeration performance of the new equipment is good with high total oxygen transfer coefficient and oxygen utilization ratio.

曝气设备的动力效率在叶轮转速为120rpm～150rpm时取得最大值，此时氧利用率和充氧能力也具有较高值。

The environmental stability of that world - including its crushing pressures and icy darkness - means that some of its most famous inhabitants have survived for eons as evolutionary throwbacks, their bodies undergoing little change.

稳定的海底环境─包括能把人压扁的压力和冰冷的黑暗─意谓海底某些最知名的栖居生物已以演化返祖的样态活了万世，形体几无变化。