The specific physical concept is contained in the single - point but its computation precision is affected by the stochastic errors 而單點(diǎn)法物理概念明確,但精度受隨機(jī)因素影響較大。
The influence of observational error on statistical inference is discussed and the method to diminish the impact of stochastic error is given 摘要討論了觀測誤差對某些統(tǒng)計推斷的影響,給出了減小隨機(jī)誤差影響的方法。
A large number of experimental data is used to determine the mass absorption coefficient in the multi - point method so the stochastic errors can be got rid of to a great extent 多點(diǎn)回歸法以大量實驗數(shù)據(jù)為基礎(chǔ)上,很大程度上消除隨機(jī)誤差的影響。
Also , the attitude algorithm of the strapdown inertial system of shipboard missile is investigated . on the basis of analysis the sins error model , computer simulation of the sins error are given in accordance with the stochastic error of the inertial instruments 此外,還對艦船捷聯(lián)姿態(tài)算法進(jìn)行了研究,并在分析捷聯(lián)系統(tǒng)誤差模型的基礎(chǔ)上,針對慣性元件的隨機(jī)誤差給出了捷聯(lián)系統(tǒng)的誤差仿真。
In this paper , error sources and the relation between error source and transmission error of harmonic gear drive are deeply analyzed based on its working principle and structure . then synthesize these errors by using stochastic error theory to write out estimative formula that calculate transmission error 本文重點(diǎn)對諧波齒輪傳動的運(yùn)動精度進(jìn)行分析研究,從諧波齒輪傳動運(yùn)動誤差的產(chǎn)生入手,首先對誤差源進(jìn)行了深入分析,然后對運(yùn)動誤差進(jìn)行了分析和綜合。
One dimension river flow roughness parameter inverse analysis kalman filter is introduced into the model to solve stochastic error in observed data . applying kalman filter automatism revising system , dynamic roughness course is obtained . using dynamic roughness course the model result precision is improved , it is more consistent with observed data 對于一維河道糙率參數(shù)反分析,針對觀測資料存在的隨機(jī)誤差,引進(jìn)卡爾曼濾波器的自動校正系統(tǒng),求解出河道糙率變化的動態(tài)過程,使用動態(tài)糙率計算,明顯改善模型的模擬精度,使模擬過程和觀測過程很好吻合。