誤差方向 的英文怎麼說

中文拼音 [chāfāngxiàng]
誤差方向 英文
direction of error
  • : Ⅰ名詞(錯誤) mistake; error Ⅱ動詞1 (弄錯) mistake; misunderstand 2 (耽誤) miss 3 (使受損害...
  • : 差Ⅰ名詞1 (不相同; 不相合) difference; dissimilarity 2 (差錯) mistake 3 [數學] (差數) differ...
  • : Ⅰ名詞1 (方形; 方體) square 2 [數學] (乘方) involution; power 3 (方向) direction 4 (方面) ...
  • 誤差 : error
  • 方向 : direction; orientation
  1. The computational results of the particle images are agreement with the simulated datain reasonable, the most absolute difference of the displacement is 0. 6671 pixel at the x abscissa and 0. 7928 pixel at y abscissa ; the computational results are equal to the data form the algorithm of particle brightness - distribution pattern tracking ( the conventional cross - correlation algorithm ) at voluminous points, their discrepancy is only one pixel at few points, mostly in boundary area

    西安理工大學碩士學位論文最後,在visualfortran環境下給出了這種演算法的具體實現,處理模擬粒子圖像的結果與模擬數據比較吻合,最大位移絕對在x是0 . 6671像素,在y是0 . 7928像素;計算結果與示蹤粒子灰度分佈模板法(基本的互相關法)在絕大部分點是相同的,只在少數點相一個像素,而且大多出現在邊界區域。
  2. Study of error compensation method for magnetic heading measurement system

    磁航測量系統修正法研究
  3. Error estimates of directional derivatives of approximately specified functions

    近似已知函數導數的估計
  4. Finally, this thesis discussed these following questions : first, the algorithm of used the error image for improving the purpose of the edge detection. secondly, we have transformed the solved question of the first and the second directional derivative to frequency domain and founded they have a single formulae in frequency domain. thirdly, we have described the singular signal and the noise by using the correlations of the neighbor data after wavelet transform

    最後,在傳統的邊緣檢測演算法和小波分析的邊緣檢測演算法之外,對以下幾個面也進行了一些討論: 1 )利用圖像來提高邊緣檢測效果的演算法; 2 )將求解任意的一階、二階導數的問題轉換到頻域中去求解,發現在頻域中它們具有簡單易用的公式,使得原來求解任意的一階、二階導數的比較困難的問題變得容易實現了。
  5. The main work of the first part includes : introducing some methods of underwater sound positioning and analyzing their performance, analyzing the theory of measuring direction and distance of the target by three elements symmetrical and dissymmetrical array, comparing the measuring error of two kinds of array, and giving the theory of the generic arrays and discussing the phase wrapping and the distance wrapping in passive ranging

    對被動測距技術的研究工作主要包括:簡單介紹了水聲定位的幾種法,並對其性能進行了分析對比,分析了三元對稱陣和非對稱陣測測距的原理,對兩種陣型的測測距進行了對比分析,還給出了一般陣型測測距原理,最後還對被動測測距中存在的相位模糊和距離模糊問題進行了探討。
  6. At first, this paper analyzes the factors of water - sand influencing water level of yellow river and the feasibility just using the factors of water - sand to study water level, and collects the corresponding data ; secondly, because there are strong nonlinear relation in the corresponding data, by meticulous theory analysis, this paper integrates basic nonlinear analysis method, theory of random analysis, method of least squares and so on. it puts forward a method which can get the high accuracy simulation of the data, perfects the multi - factor analysis of variable ( over three factors ) of the statistic ; thirdly, it applies the method to the approximation of corresponding water level process which belong to the capacity of sand of middle - high and middle - low, and get the high - accuracy simulation about the typical nonlinear relation ; at last, this paper definitudes the main influence mode that the capacity of sand. it mainly unite with other factors to work on the water level in the yellow river lower reaches ; mor eover, this paper analyzes the difficult point and the direction of improvement to realize the accuracy forecasting of the flood level of erodible - bed channel

    首先,系統分析了影響黃河水位的水沙因素,及僅用水沙因素有效研究水位的可行性,並按變量對應思想採集它們的相應數據;其次,由於相應水位過程數據中含極強的非線性關系,本論文經細致的理論分析,將基本的非線性分析法、統計建模法、隨機分析理論、最小均原則等等數學理論及法有機揉合,提出了能有效實現這類數據高精度擬合的分層篩選法,並改進了統計學中多因子(三個以上)分析法;再次,將這一法用於黃河中高及中低含沙類洪水相應水位過程的擬合,實現了這一典型非線性關系的高精度擬合,各年汛期上下游相應洪水位過程的擬合都較小;最後,明確黃河下游含沙量對水位的主要影響式,即含沙量主要是與其它因素聯合對水位作用;另外分析了要實現變動河床洪水位過程準確預報的困難所在及改進
  7. If a bay is inclined to the general line of the base at an angle of 10 mm in 24m, the error will be 0. 1 ppm.

    如果一個尺段偏離基線總的角度相應於24米距離上的10毫米,則為0110-6。
  8. If a bay is inclined to the general line of the base at an angle of 10 mm in 24m, the error will be 0. 1 ppm

    如果一個尺段偏離基線總的角度相應於24米距離上的10毫米,則為0 1 10 - 6 。
  9. The influence of the cloud droplet spectrum character and the spectrum growth and change is considered, which does not use a cut - off value for conversion from cloud water into rain water process. in the continuous coalescence equation, the particles fall velocity difference is not moved out from the integral, but is integrated in the equation as the function of diameter d to avoid the error of using particles average fall velocity. in the new scheme, generation rate of graupel due to the collection of snow by graupel and the collection of cloud ice by graupel are included

    雲中凝結核ccn的數濃度採用超幾何函數表示;雲水雨水的自動轉換過程採用grabowski ( 1999 )的公式,考慮了雲滴譜的特徵和發展變化對該過程的影響,而不是採用原案給定閾值的法描述該過程;對連續碰並程不再將粒子落速作為常量提出積分號外,而是直接作為粒子直徑函數在積分號內求解,這樣處理可以迴避使用粒子群的平均落速帶來的;增加了霰和雪、霰和冰晶的碰並微物理過程。
  10. The relations between relative measurementerror resulting from temperature and heat distensibility coefficient of coil ’ s framework andwindingcoilwerecarriedout. theinfluenceofelectromagnetisminterferenceontheaccuracyof rogowski coil, as well as the effect of temperature on integraph, were studied. somemeasures based on the above investigating results were proposed to insure the precision ofrogowski coil sensor head, such as the selection of materials and facture methods, improvment of technics and design of additional compensation

    利用建立的rogowski線圈的數學模型對溫度和外界干擾磁場的影響進行了分析,得出了溫度造成的相對與線圈骨架和繞組線圈熱膨脹系數之間的關系;從兩個上分析了干擾磁場對線圈精度的影響;分析了溫度對積分器的影響等。
  11. On the basis of analysing multilayer forward artificial neural networks which based on back propagation algorithms and basic principles of the adaptive noise cancellation system, this paper sets up an adaptive noise cancellation controller based on artificial neural network, which is proved to be more efficient in the noise cancellation and has robust performance based on simulink of matlab at the end, this paper proposes some advices of model and algorithms

    在對基於傳播學習演算法的多層前人工神經網路進行分析基礎上,結合傳統自適應噪聲抵消系統基本原理,建立了基於人工神經網路的自適應噪聲抵消器,經基於matlab的simulink模擬實例證明,具有很強的噪聲濾除能力和魯棒性。最後並提出了網路及演算法進一步改進的法。
  12. We prove theoretically that under certain reasonable assumptions the formation is asymptotically stable even wills bounded disturbances ; that is, the proposed sliding mode controller can asymptotically stabilize the errors in relative distance, relative bearing and heading direction, respectively

    在合理的假設下,從理論上證明了存在有界干擾情形下機器人編隊的漸近穩定性,即所設計的滑模控制器使得相對距離位角及運動漸近穩定。
  13. Abstract : the attitude error performance of electrostatic gyro should be understood and the relevant error equations must be set up in order to ensure the navigation precision of esgm. the relation between the navigation errors and the attitude errors of gyro was derived by use of spherical triangle. the simulation results show that the temporal performances of the longitudinal and distance errors which come from the initial alignment errors are periodically variational. they also show that the longitudinal and distance errors resulted from gyro drifts are not convergent in time. thus, the effects of initial alignment errors and gyro drifts can not be neglected and must be estimated and compensated

    文摘:為了保證靜電監控器的導航定位精度,需要了解靜電陀螺的姿態特性,建立相應的程.本文採用球面三角形原理推導了導航定位與陀螺姿態的關系式.模擬結果表明,由初始定引起的經度和距離的時間特性是周期變化的;由陀螺漂移引起的經度和距離是隨時間發散的.因此,初始定和陀螺漂移的影響不能忽略,必須對其進行估計和補償
  14. Aiming at the disadvantages of present feature association algorithm, the modified bp neutral network is applied to feature association and has a higher association rates

    4針對現行屬性關聯演算法的缺點,把改進的傳播( bp )神經網路法應用於屬性關聯,該法有較高的關聯成功率。
  15. The radiation patterns at different scan angle from - 20 to 20 degree are presented, and the angle difference between the maximum / minimum field points of their main beam shows the bse of the radome. at different frequencies, the radiation from the antenna has been discussed when azimuth scan angle ranges between - 20 degree and 20 degree. the relationship between

    200 ~ 200范圍內天線的和遠區場、遠區場;得到位瞄準、瞄準斜率和功率傳輸系數隨掃描角和入射波頻率的變化關系;並將所得數據與文獻數據進行比較,表明間接射線法簡單、有效且精度較高。
  16. The lyapunov function is used to analyze the convergence of the general learning rule, and it is proved in theory that the general learning rule has the inherent factor which adjusts the coefficient values to gain the minimum error

    通過理論推導,用李雅普諾夫函數分析和驗證通用參數學習規則的學習收斂性,揭示參數學習演算法朝最小誤差方向調整參數的內在因素。
  17. Initial alignment is to put on some speed of control angel in order to transferring the maths platform to expected location. it can be controlled by error equation. in the platform system, it used to adopt the modern control theory method

    初始對準從控制上講就是施加一定的控制角速度把數學平臺轉期望的位置(與地理坐標系重合) ,它是按程進行控制的,過去在平臺系統中採用頻率特性法,目前已經採用了現代控制理論設計法。
  18. Using the back - propagation artificial neural networks which have the satisfactory nonlinear prediction ability, the correlation between molecular structures and flash points of fatty alcohols was studied with molecular structure descriptors as input parameters and flash point as output one

    同時引入具有高度非線性預測能力的傳播人工神經網路法,以分子結構描述符作為神經網路的輸入參數,閃點作為輸出,研究脂肪醇的閃點與分子結構之間的相關性。
  19. 2. based on the original bp network, some improvement on error back propagation arithmetic is made. the executing speed of the algorithm is increased through online adjustment of learning rate. combined with traditional pid control, this method generated two integral schemes : bp network + pid serial control and self - confirming control of parameters of pid controller based on bp network are constructed

    在原有的傳播( bp )網路的基礎上,對其學習演算法進行了改進,通過在線調節學習速率,提高了演算法的實現速度,並且與傳統的比例積分微分( pid )控制法進行結合,分別實現了兩種集成法: bp網路與pid串列控制法和基於bp網路的pid參數自整定控制法。
  20. The bic method generalized from ar model was adopted to determine the number of input neurons in grnn prediction model. the grnn was applied to single - step and multi - step ahead prediction of the vibration time series of a rotating machine, and its performance was compared with that of 3 - layers perceptrons network with error back propagation training algorithm ( bpnn ). it is indicated that the grnn is more appropriate for prediction of time series than the bpnn, and the performance of grnn is qualified even with sparse sample data

    研究了基於廣義回歸神經網路( grnn )的大型旋轉機械振動狀態預測,提出了應用bic準則確定grnn預測模型輸入神經元數目的法,將grnn用於大型機組振動峰?峰值時間序列的預測,與採用傳播學習演算法的三層前饋感知器網路( bpnn )的預測結果對比表明, grnn的預測性能優于bpnn ,而且,即使樣本數據稀少,也能獲得滿意的預測結果。
分享友人