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Parameter RESOLUTION Offset Error Gain Error Differential Nonlinearity Integral Nonlinearity TEMPERATURE DRIFT Offset Error Gain Error POWER SUPPLY REJECTION RATIO ANALOG INPUTS1 Differential Input Voltage Range Differential Input Resistance Differential Input Capacitance Input Bandwidth VSWR 2 POWER SUPPLY 3 Supply Current IAVCC (AVCC = 5.0 V) IEVCC (EVCC = 3.3 V) IVDD (VDD = 3.3 V) Total Power Dissipation 4

参数解决方案偏移误差增益误差微分非线性积分非线性温度漂移偏移误差增益误差电源抑制比1模拟输入;差分输入电压范围差分输入电阻电容输入带宽差分输入电压驻波比2电源3电源电流IAVCC(AVCC = 5.0五)IEVCC(EVCC = 3.3伏) IVDD(VDD的= 3.3伏)总功率耗散4

The following conclusions have been made in this paper.(1) Based on CO_2 flux data of eddy covariance, variation characteristics of gross primary productivity in four flux observation stations were studied, which are an alpine meadow, an alpine shrub meadow, a swamp alpine meadow and a steppe alpine meadow at Dongxiong. The results show that photosynthetic capacity of the alpine meadow is the highest, and the annual total GPP is 652.2g C/m~2. Daily-differencing approach is used to analyze the random error of CO_2 fluxes measurements. The results show that the distribution of random error follows more closely follows a double-exponential, rather than a normal distribution, capturing the high peak and thick tail, and the random error varies with environment variables, which violates the assumptions for the ordinary least squares fitting with normality and homoscedasticity, consequently, we introduce maximum likelihood method for parameter optimization.

本文主要在以下几个方面开展工作并获得了一些认知和结论:(1)通过分析样带区域内高寒草甸、高寒灌丛、沼泽化湿地和草原化高寒草甸四个通量观测站点草地生态系统总初级生产力变化特征,研究结果表明HBBT矮嵩草草甸生态系统植被光合作用能力较强,年GPP总量为652.2 gC/m~2,明显高于其他三种生态系统;通过利用"单塔日变化法"获得四站点通量观测数据随机误差,结果表明通量观测随机误差概率分布呈现尖峰厚尾的特征,与正态分布相比,更服从双边指数分布,进一步分析表明通量观测随机误差随环境变量(风速、温度和光合有效辐射)的变化而变化,这违背了普通最小二乘法进行生态过程模型参数优化正态分布且误差同质的假设,因此本研究中引入最大似然法进行生态过程模型参数优化。

The disturbance model can give the prediction for all the 95 shock events, while STOA model works for 89 events and ISPM model for only 72 events. We arrive at 25.26% percentage of all the 95 events with the relative time error less than 10%, 50.53% of all the events with the relative time error less than 20%, 65.26% of all the events with the relative time error less than 30%, 31.58% of all the events with the relative time error between 60%~80

实验表明,我们的模型在所有95个事件中,渡越时间相对误差小于10%的事件数占总事件数的25.26%;相对误差小于20%的占总事件数的50.53%;相对误差小于30%的占总事件的65.26%;相对误差在30%~60%的之间的事件数有30个,占总事件的31.58%;有3个事件相对误差在60%~80%之间,没有哪个事件相对误差大于80%。95个事件中我们的扰动传播模型能对所有事件进行分析给出预报值,STOA模型能给出89个预报值,而ISPM模型则只能给出72个。

Finally, suspected mechanical flexure of the telescope mirror and dovetail mount attachment occasionally adds additional error to the pointing, causing the total error in these data to exceed the 11 arc-m limit imposed by Pinpoint.

最后,怀疑该望远镜镜配合机械弯曲芒特附件偶尔增加了额外的错误的指向,导致这些数据的总误差超过11 弧米的Pinpoint施加限制。

The verification of the evaluation model shows that the model has a high accuracy, with a total error of only 0.037. S0 it can be applied in the safety evaluation in coal mines.

通过对模型的验证分析,表明该模型具有较高的精度,总误差仅为0.037,可以将其应用到现场安全评价中。

Sample design to reduce total error

减少总误差的样本设计

A new function express network total error.

选取了较优的学习率和动量因子的调整方法;用新的函数形式表示网络的总误差;改进了样本的学习顺序。

Thus the total attitude angle error is about 5.84°.

因此,基于太阳矢量的皮卫星姿态角测量总误差为5.84°。

The precision of electronic angle gauge is 1Π 7 000 and the total error of Bitterlich angle gauge is 1Π 32. S o the precision of the electronic angle gauge is 200 times as high as general angle gauge and its velocity is higher.

经过分析,电子角规测树精度为1/7 000,而比特利希角规测树精度总误差达1/32,电子角规的测树精度比普通角规高出200倍以上,其速度也较快。

Although these combined relative error γ.1%, in order to obtain more precise measurement results, it should be pay attention for the level of the torsion pendulum, the uprightness between the photoelectric doors and the block rod, the location of the being measured substance, the similarity of the shape and the quality between the standard object and the being measured object, human factors and so on.

利用扭摆法测量物体的转动惯量,受到待测物体摆动周期测量误差、装配位置偏移误差和轴线倾斜误差的影响,虽然这些相对误差总合γ。1%,为了使测量结果是加精确,实践中应该注意扭摆的水平、光电门与挡光杆的垂直、待测物重心的位置、人为误差的影响以及待测物与标准件形状、质量的相近性等。

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女人的漂亮必須從她的眼睛中去看,因為那是她心靈的窗戶和愛居住的地方

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