計權誤差 的英文怎麼說

中文拼音 [jìquánwùchā]
計權誤差 英文
weight error
  • 計 : Ⅰ動詞1 （計算） count; compute; calculate; number 2 （設想; 打算） plan; plot Ⅱ名詞1 （測量或計算...
  • 權 : Ⅰ名詞1 [書面語] （秤錘） counterpoise; weight （of a steelyard）2 （權力） power; authority 3 （...
  • 誤 : 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 : 差Ⅰ名詞1 （不相同; 不相合） difference; dissimilarity 2 （差錯） mistake 3 [數學] （差數） differ...
  • 誤差 : error
  1. Its biquadratic finite element approximation is considered and under the appropriately graded meshes, quasi - optimal order error estimates in the - weighted h ^ 1 - norm, up to a logarithmic factor in the singular perturbation parameter, are proved

    然後，考慮此方程在分層網格剖分上的雙二次有限元逼近，在-加權h ^ 1 -模意義下得到了至多相差一個關于攝動參數對數因子的擬最優階收斂的誤差估計。
  2. A experienced equation which is summarized by many experiments is used to determine the number of mesosphere nerve cell and a sort of new square - sum function of errors is adopted. its characteristic is that weight errors of possible exceptional point is less. accordingly, the effect of errors of possible exceptional point is reduced, which make actual function relation simulation easier

    本系統針對bp演算法的局限性，給出了一種優化的bp演算法，採用經過大量實驗總結出的經驗公式來確定隱層神經元的個數，並選取了一種新的誤差平方和函數，該函數的特點是對一些可能的異常點的誤差權值設計的較小，從而降低了異常值誤差帶來的影響，便於模擬出真實的函數關系。
  3. Compared with the classical bp algorithm, robust adaptive bp algorithm possesses some advantages as following : ( 1 ) increasing the accuracy of the network training by means of using both the relative and absolute residual to adjust the weight values ; ( 2 ) improve the robustness and the network convergence rate through combining with the robust statistic technique by way of judging the values of the samples " relative residual to establish the energy function so that can suppress the effect on network training because of the samples with high noise disturbances ; ( 3 ) prevent entrapping into the local minima area and obtain the global optimal result owing to setting the learning rate to be the function of the errors and the error gradients when network is trained. the learning rate of the weights update change with the error values of the network adaptively so that can easily get rid of the disadvantage of the classical bp algorithm that is liable to entrap into the local minima areas

    與基本bp演算法相比，本文提出的魯棒自適應bp演算法具有以下優點： （ 1 ）與魯棒統計技術相結合，通過訓練樣本相對偏差的大小，確定不同訓練樣本對能量函數的貢獻，來抑制含高噪聲干擾樣本對網路訓練的不良影響，從而增強訓練的魯棒性，提高網路訓練的收斂速度； （ 2 ）採用相對偏差和絕對偏差兩種偏差形式對權值進行調整，提高了網路的訓練精度； （ 3 ）在採用梯度下降演算法對權值進行調整的基礎上，通過將學習速率設為訓練誤差及誤差梯度的特殊函數，使學習速率依賴于網路訓練時誤差瞬時的變化而自適應的改變，從而可以克服基本bp演算法容易陷入局部極小區域的弊端，使訓練過程能夠很快的「跳出」局部極小區域而達到全局最優。
  4. It is very important to estimate the basic parameters in helicopter preliminary design. neural network ( nn ) has the advantages in estimating accuracy and generalization over traditional methods. however, there are some difficulties in using nn, e. g., how to select a proper network structure and the number of hidden layers. in this paper, structure and connection weight of a three - layer nn are optimized by genetic algorithm, and the optimized network is applied to helicopter sizing. the proposed method can not only give an optimal nn structure and connection weight, but also reduce the prediction error and has the capability of self - learning when the latest data are available. furthermore, this method can be easily applied to helicopter design systems

    在直升機初步設計階段估算其基本參數是很重要的.神經網路的通用性和精度比傳統的估算方法有更多的優勢，但是在應用神經網路時存在如何選擇合適的網路結構和隱層節點數目等一些困難.應用遺傳演算法優化三層神經網路結構和連接權重，並將優化得到的網路應用於直升機參數選擇中.該方法不但可以給出一個最優的神經網路結構和連接權重，而且降低了估算誤差，具有及時應用最新數據學習的能力.此外，該方法易於在直升機設計系統中得到應用
  5. This paper also points out the consistency that can be generalized more than one dimension. so, we achieve the large sample property - consistency of this class of model on the fixed design. in this paper, for fixed design points xi ; under the assumption that the unknown function g is continuous function and the moment of random error exists and is finity, we discuss and show that the estimators n, gn and n2 for, g and 2 have strong consistency, p th - mean consistency for more general nonparametric weighted fuction

    本論文在x ；是固定設計的情況下，假定未知函數9 （ ? ）連續，對非參數權函數的條件更為一般和基本，並對隨機誤差e ；的矩的要求有限，討論並證明了在這些條件下， p ； g （ ? ）的估計量札lin （ ? ）及誤差方差a 』的估計量枯相合性和叭三2 ）階平均相合性
  6. Adding momentum item while correcting weight and limiting range of input value reduce error and improve diagnosis correctness greatly. while normalizing the input value, a new way is put forward that normalization is performed item by item according to its sort. in this way error training can avoid going into the flat field that is caused by existing of 0 or 1 of the input value

    本文首先分析了故障診斷和神經網路的基本理論，並在此基礎上提出了神經網路對于變壓器故障診斷系統的適用性；文中將bp神經網路演算法用計算機實現；並針對其本身存在的一些缺點提出了一系列改進措施，通過在修正權值的時候增加動量項，並且限制輸入值范圍來減小誤差、提高系統的診斷正確率；在對輸入數據進行歸一化處理的時候，採取按類逐項歸一化的方法，避免了輸入數據出現0或者1而使訓練進入平坦區。
  7. Unlike the normal two stages estimate method ( the usual nonparametric weighted method combined with the least square estimate ), considering the characteristics of this model, this paper uses the least square estimate combining with the usual nonparametric weighted method and defines the estimators and n2 for the unknown parameter, the unkown fuction g ( ) and the unknown variance of errors 2

    與通常採用的兩階段估計方法即非參數權函數法結合最小二乘法不同，考慮到此模型本身的特性，本文採用最小二乘法結合一般非參數權函數估計方法，定義了未知待估參數和未知函數g （ ? ）及誤差方差~ 2的估計量（ ? ） _ n ， （ ? ） _ n （ ? ）和（
  8. The motion compensation of radar target and an analysis of influence of component imperfection in the realization of the method are presented. to evaluate the performance of the proposed method. monte carlo simulation has been conducted to estimate the root mean square error of the angle estimates and the spatial resolution snr threshold in the cases of both non - fluctuating targets and fluctuating targets

    在此基礎上，提出了針對相位權重角度超分辨法的雷達目標的運動補償方法，分析了雷達系統各部件的不理想性對超分辨性能的影響，用montecarlo方法對無抖動目標和有抖動目標在不同信噪比下的方位估計誤差和方位超分辨的信噪比門限進行了模擬計算，並將結果同波束空間music方法及cramerrao限進行了比較。
  9. Results show that a three - stepwise weight function correction method is effective and applicable and can be spread in other basins. it can eliminate the outlier of rainfall data and improve the accuracy of flood forecast

    計算結果表明，採用雨量觀測誤差三步權函數修正法是有效的，能準確剔除雨量資料的粗差，改善雨量資料的合理性，提高洪水預報的精度。
  10. This method includes two kinds of observation data for the correlation rule, hence resulting in enhanced spatial resolving capability. weighted track fusion with cep as weight is proposed. this method has less calculation and notable result

    同時根據無源定位系統觀測誤差的分佈特性，提出了以為權因子的加權航跡融合演算法，該融合演算法計算量小，效果顯著。
  11. The dissertation described the theory of wavelet in detail and presented the method of building wavelet function, presented the learning method and adjusting factor law of bp wavelet neural - networks, designed neural - networks controller. the result of simulation showed the controller could compensate dynamic inverse error

    針對動態逆產生的逆誤差，本文對基於bp小波神經網路進行了研究，給出了學習演算法和權值調整律，設計了神經網路控制器並進行了模擬，模擬結果表明能夠較好的補償動態逆產生的誤差。
  12. This model and the experiment solution can restrict the calculating error of the forming time to seconds which have important reference to externally quoting, arranging the working sequence and balancing the priority between the process efficiency and prototyping function of sls provider

    該模型和實驗方法可將sls成型時間的計算誤差控制在秒內，這對于sls服務方的對外報價、安排作業順序和權衡加工效率與成型件性能之間的優先權有十分重要的參照作用。
  13. ( 3 ) on the basis of kalman filer algorithm and on the premise of two assumptions, namely, state estimation error of each sensor is dependent or independent, kalman filter weight fusion algorithm and modified track - to - track fusion algorithm are proposed, then improved algorithm is applied to the simulation of line - guidance and terminal - self guidance of torpedo

    （ 3 ）基於卡爾曼濾波演算法，在各傳感器估計誤差相互獨立和不獨立兩種假設的前提下，給出了卡爾曼濾波加權融合演算法，在此基礎上，提出了修正的track - to - track航跡融合演算法，並將改進后的演算法應用於魚雷線導加末自導系統的模擬研究。
  14. This paper consists of two parts : in the first part, we will discuss the prob - lem of the pth - mean, complete consistency for the estimators of a nonparamet - ric and linear model with l ~ p - mixingale errors ; in the second part, we will dis - cuss the problem of the rth - mean 、 complete consistency for the estimators of themodels above with weak stationary linear process errors and the uniformly mean consistency. to the nonparametric model y _ ni = g ( x _ ni ) + _ ni, 1 i n, let g _ n ( x ) = w _ ni ( x, w _ n1, … ? xnn ) y _ ni estimate the unknown function g ( x ). to the linear model y _ i - x _ i1 1 + … ? + x _ iq ? _ q, we use lse _ nj to estimate the unknown parametric _ j

    本篇論文主要是由兩大部分內容構成：一是關于誤差是l ~ p ?混合序列的線性回歸模型參數的最小二乘估計與非參數回歸模型未知函數的權函數估計的p ~ -階平均相合性和完全收斂性問題；另一部分是關于誤差是弱平穩線性過程的線性模型參數的最小二乘估計與非參數回歸模型未知函數的權函數估計的r ?階平均相合性和完全收斂性以及權函數估計的一致平均相合性問題。
  15. Through applying the three methods of term structure estimation to the construction of zero - yield curve and to the pricing of zero - bond, zero - bond option, coup bond, interest rate swap, interest rate swap option, interest rate cap, interest rate floor, forward rate agreement. comparing the calculation errors of the three methods of term structure estimation

    通過將這三種期限結構估測方法應用於零息收益曲線構造，應用於零息國債及其期權、附息債券、利率互換、利率互換期權、遠期利率協議、利率上限、利率下限等利率衍生產品價格的估測，並比較所估測結果的誤差，得出的結論是：三種期限結構估測方法會導致在計算不同利率衍生產品價格時產生差異。
  16. The key feature of the proposal approach is using feedback linearization method to design a single hidden layer artificial neural network whose weights is renewed online to augment parametric uncertainty and unmodeled dynamics

    其特點是採用隱含反饋線性化方法，設計單隱層神經網路在線更新權值，自適應補償參數誤差和未建模動態。
  17. This paper studies mainly the theories of the semi - parametric regression model : ( 1 ) under proper conditions, using random weighted way to the estimator of the error density f ( x ) of the semi - parametric regression model, this paper proved the strong and weak consistent and the asymptotic unbiased property of the weighted kernel estimation fn1 ( x ) of the f ( x )

    本文對半參數回歸模型：主要做了以下三個方面的理論研究： （ 1 ）將隨機加權法應用到半參數回歸模型的誤差密度f （ x ）的估計當中去，在適當的條件下，證明了誤差密度的加權核估計（ ? ） _ （ n1 ） （ x ）的強相合性、弱相合性及漸近無偏性。
  18. On stability and error estimaes for a class of weighted semi - implicit schemes of the incremental unknowns methods

    一類加權半隱格式增量未知元方法的穩定性和誤差估計
  19. Strong consistency for the weighted kernel estimation of a regression function under - mixing error condition

    混合誤差下回歸函數加權核估計的強相合性
  20. For reducing dead - reckoning location error of doppler velocity log and compass, this thesis studies two methods, exponential flatness arithmetic and common flatness, gives the emulating results in the different tracks, proves that lawnmower is a efficient method of decreasing location error

    本文研究了減小推算輔助導航系統定位誤差的指數加權平滑法和一般平滑法，並結合計算機給出了在同一軌跡下，兩種定位方法的區別；並且還給出了不同軌跡下的定位結果，證明了走剪草機軌跡是一種有效的減小定位誤差的方法。
分享友人
分享到 Line

分享到臉書