为此，研究了运输产品市场选择的用户效用极大化原理，建立了运输产品服务水平量化标定的效用函数；
The paper introduced the utility function that can calibrate the service level of transportation products on the basis of the maximum principle for user utility in selecting transportation products.
扼要介绍结合声发射检测系统仪器的实际条件以及标定试验求取系统脉冲响应函数的方法。
Dealing with the concrete conditions of instrument system and its calibration tests, tbe method to determine the impulse response function of acoustic emission is introduced briefly.
遗传算法非常适合于解决摄像机标定这类多参数、大范围、非线性的复杂函数优化问题。
GA is an appropriate choice to solve the problem of multi-parameter, large-scale and non-linear complex function optimization like camera calibration.
介绍了利用地震计对阶跃电流标定或稳态正弦电流标定的响应波形获取地震计传递函数的方法。
We use the response waveform from the calibrating with step or steady sine current to calculate the transfer function of a seismometer.
前两种地震仪，它们的运动方程和传递函数已知，传递函数系数可以通过经典的分段标定方法求得。
For the first two kinds the equations of motion and transfer functions are known. The coefficients of the transfer functions are determined by means of classical step-by-step calibration.
通过定义相对光强和推导出与传感器函数等价的光强传递函数，建立了场景标定原理。
The equivalent sensor function and the principle of scene calibration are established by defining relative intensity response.
这一修正方法及修正公式可广泛应用于凡是用瞬态激励法(阶跃函数输入和斜坡函数输入)对压力传感器、力传感器以及其它各种传感器的动态和准静态标定中。
The correction methods and equations can be used for dynamic and quasi-static calibrations of pres - sure, force and other transducers in transient excited methods of step or ramp function inputs.
利用BP网络可以逼近任意非线性函数的特点，对视觉系统进行标定，并使用MATLAB中的神经网络工具箱进行网络的设计和计算。
BP network can approach any nonlinear function. Using this characteristic, vision system was calibrated. The network is designed and calculated with MATLAB neural network toolbox.
针对粒度仪标定的准确度 ，在概率空间基础上 ，提出了尘埃粒子散射光信号幅度概率谱线和散射光信号幅度概率谱函数的概念 ，并对谱线在概率空间下的性质进行了研究。
The amplitude spectrum line and the amplitude spectrum function are proposed for the airborne particle scattering light signal, and their properties are studied in probability space.
通过对传感器的标定并进行相应的回归处理，可得到介质损失角和谷物水分的函数关系，并将此函数关系存入单片机的存储器中。
Through demarcating sensor and corresponding regress manage, can get relation between dielectric loss Angle and grain moisture content. The relation was stored to memory of single-chip computer.
推广后的定位方法，可根据具体的目标定位场合，灵活选择核函数对样本点进行核密度估计。
Using this method, kernel function could be flexibly chosen to estimate sample point's density values according to different locating application scenes.
推广后的定位方法，可根据具体的目标定位场合，灵活选择核函数对样本点进行核密度估计。
Using this method, kernel function could be flexibly chosen to estimate sample point's density values according to different locating application scenes.
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