誤差平方和 的英文怎麼說

中文拼音 [wùchāpíngfānghé]
誤差平方和 英文
error sum of squares
  • 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...
  • 平 : Ⅰ形容詞1 （沒有高低凹凸 不頃斜） flat; level; even; smooth 2 （高度相同; 不相上下） on the same l...
  • 方 : Ⅰ名詞1 （方形; 方體） square 2 [數學] （乘方） involution; power 3 （方向） direction 4 （方面） ...
  • 和 : 和動詞（在粉狀物中加液體攪拌或揉弄使有黏性） mix （powder） with water, etc. : 和點兒灰泥 prepare some plaster
  • 誤差 : error
  1. 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。
  2. With the basis of the system of nonlinear equations which is established by minimizing the error quadratic sum of theoretical and actual shaded value of the points on the typical surface, the parameters of the illumination models can be firstly determined by means of the least - square procedure

    首先，以典型曲面上各點的理論灰度值與實測灰度值的誤差平方和最小為目標建立非線性方程組，以非線性最小二乘理論為基礎，通過解非線性方程組確定光照模型各個參數值。
  3. With the basis of nonlinear least squares theory, the system of nonlinear equations is established by minimizing the error quadratic sum of theoretical and actual gray level of the points on the typical surface, and the parameters of the illumination models can be determined by means of the least - squares procedure

    以非線性最小二乘理論為基礎，以典型曲面上各點的理論灰度值與實測灰度值的誤差平方和最小為目標建立非線性方程組，通過求解非線性方程組來確定光照模型的各個光照參數。
  4. It has been proved in many examples that the bp algorithm based in the square sum of the relative error is better than the conventional bp method

    通過大量算例檢驗證實，在基於相對誤差平方和為檢驗標準前提下，利用所給演算法求得的擬合值或預報結果優于傳統的基於絕對誤差平方和作為目標函數的bp演算法所得結果。
  5. With process data of blast furnace no. 1 in tianjin iron plant, the parameters, ru and sita, of model have been optimized based on criteria of predictability, hit ratio, direction hit ratio and mean sum of square error according to each variable respectively

    以可預測率、預測命中率、趨勢預測命中率及平均誤差平方和為評價標準，確定了各影響因素的警戒參數ru和濾波參數sita的優化值范圍。
  6. Contrast experiment shows that multi - time factors can improve the quality of prediction equations and make effective rate reach 90. 0 percents and reduce sum of residual squares 23. 8 percents meanly

    對比試驗表明，多時刻因子可改善大多數預報方程的質量，有效率達90 . 0 % ；多時刻因子使預報誤差明顯減小，預報方程的殘差平方和平均減少23 . 8 % 。
  7. As in many cases, people pay more attention to the relative error between actual output values and the idea output values, in this paper, an improved bp algorithm based on the smallest square sum of the relative error is proposed, which looks on the square sum of relative error between the idea output and the actual output as the object function

    考慮到在很多情況下，人們更關心預報模型的預報值與實際值的相對誤差情況，從而本文採用實際輸出與希望輸出的相對誤差的平方和作為目標函數，給出了一種基於相對誤差平方和為最小的bp演算法。
  8. Many functions such as field information map, contrastive map of yearly yield, prescription map, etc. can be made. in order to improve using accuracy of agricultural gps, by analyzing the error of point, polyline, polygon, several methods are produced such as arithmetic average value, least squares, adding control points, etc. their principles, features and limitations are also analyzed and discussed. the mathematic model of average error method included in adding control points is established

    為了進一步提高農用gps的使用精度，研究了提高精度的方法，通過對點、線、面等誤差的分析，提出了應用算術平均值法、最小二乘法、加入控制點法等多種提高精度的方法，分析和討論了它們的原理、特點與應用局限性，並建立了加入控制點法中的誤差平差法的數學模型。
  9. 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。
  10. In the light of the principle of pipeline adc, this paper analyzes the error, points out the main reason, introduces digital error - correction technology and capacitor error - averaging technology, and proposes a solution based on these technologies

    摘要從流水線adc工作原理出發，對誤差進行了分析，指出了主要原因，介紹了數字校正技術和電容誤差平均技術，並結合數字校正技術和電容誤差平均技術提出了解決方法。
  11. In the implementation process, expert knowledge that easy to imply was concluded based on system distinguishing and maintainer ' s experience. in, the following practice in realization, we put forward parameter optimizing method using statistics theory to optimizing pid parameters, and have comparisons visually on different control policies and parameters

    在隨后的現場實現過程中，又針對pid控制參數難以整定的問題，創新性地提出了基於數理統計的離線參數尋優方法，通過對誤差平方積分等指標的統計，形象地作出了各種控制方法和參數設置下的控制效果橫向比較。
  12. Estimated error sum of squares

    估計誤差平方和
  13. I improve the back propagation arithmetic, and apply fuzzy entropy to the training and studying of nerve network, a new arithmetic based on fuzzy entropy and error is presented

    對現有的bp演算法進行了改進，將模糊熵用於神經網路的訓練和學習，提出一種基於模糊熵準則和誤差平方和準則的多準則模式識別方法。
  14. Firstly, unlike the factorization - based methods that minimize the svd ( singular value decomposition ) re - projection error, the method uses the minimization of mean 2d re - projection error of projective points as a criterion, therefore it has a clearer physical meaning and enhances the accuracy of projective reconstruction results

    該方法以全局性極小化射影三維空間點的二維反投影誤差平方和為準則，相對于縮小svd反投影誤差的方法，具有更為明確合理的物理意義。
  15. The diagnosis program is made in visual c + +. the samples are trained with this network, during which the relationships between the network parameters ( such as rule number, study rate, expert network initial error and gate network error, circulation times and power index ) and learning error were probed into, and the outcome can provide the basis for network parameter selecting

    並採用visualc + +編制了系統程序，首先通過分層混合專家網路對故障樣本進行訓練，在訓練中對分層混合專家網路各參數（規則數、學習率、門網路中止誤差、專家網路初試迭代誤差、循環次數、加權指數等）與學習誤差平方和的關系進行了探討，其結果為樣本網路參數的合理選取提供了依據。
  16. Firstly, the square sum of estimate error is only half of it " s original square sum of measurement data, the precision of result is highly enhanced. secondly, the precise estimate data takes place of bad data. thirdly, this method estimate some data that the power system needs but the measure system do not give

    從估計結果來看，一是在不良數據不計在內的情況下，估計值的誤差平方和僅是原始測量數據誤差平方和的一半左右，在準確性上有較大的提高；二是用準確的估計值代替了不良數據；三是準確地估計出了一部分電網調度工作需要，而又沒有進行測量傳送的數據。
  17. The dynamic matrix control algorithms based on finite impulse response are studied. the model errors are defined in the form of upper and lower bound and the error square sum of impulse response coefficients of single - input / single - output systems. the robust stability conditions are proposed for closed - loop systems using dmc in the form of lmi, which can assure the closed - loop system using dmc algorithm to be asymptotically stable, when the coefficients of characteristic polynomial do n ' t satisfy jury ' s dominant coefficient lemma

    浙江大學博士學位論文4 .研究了基於脈沖響應模型的動態矩陣預測控制田mc ）演算法，針對單輸入、單輸出系統可能出現的預測模型誤差，分別以脈沖響應系數上下界和脈沖響應系數誤差平方和的形式對預測模型的模型誤差進行定義，根據該定義以線性矩陣不等式的形式分別提出了閉環系統魯棒穩定判據，當閉環多項式系數不能滿足j切嘆主系數定理的情況下仍能保證系統閉環穩定。
  18. In training of back - propagation neural network, parameter adaptable method which can automatically adjust learning rate and inertia factor is employed in order to avoiding systemic error immersed in a local minimum and accelerating the network ' s convergence ; introduced the further optimization of the network ' s structure, it gives the research result of selection of the hidden layers, neurons, and the strategy of re - learning, compared the sums of the deviation square of this algorithm with conventional bp algorithm, as a result, the approach accuracy and the generalization ability of the network were extremely improved

    在對前饋神經網路的訓練中，使用參數自適應方法實現了學習率、慣性因子的自我調節，以避免系統誤差陷入局部最小，加快網路的收斂速度；提出了優化bp網路結構的實驗研究方法，並給出了有關隱含層數和節點數選擇以及再學習策略引進的研究結果。將該演算法同傳統bp演算法的預測偏差平方和進行比較，結果證實網路的逼近精度及泛化能力均得到了極大的提高和改善。
  19. Perceptron, relaxation, mse and ho - kashyap ( hk ) algorithm. hk is not robust to outliers. the modified hk with square approximation of the misclassification errors ( mhks ) tries to avoid this shortcoming and adopts similar principle to the support vector machine to maximize the separation margin

    線性分類器因其簡單、易於分析和實現且容易推廣為非線性分類器的優點而成為模式分類最常用的分類器，並產生了感知器（ perceptron ） 、鬆弛演算法（ relaxation ） 、最小平方誤差（ minimumsquareerror ， mse ）和ho - kashyap （ h - k ）演算法等經典演算法。
  20. The estimation procedure is based on the steady - state characteristics versus slip curves. the sum of squares of differences between calculated and experimental characteristics is employed as the fitting criterion. the machine parameters are obtained by minimizing the least - squares cost function using genetic algorithms

    該方法利用電機穩態特性曲線，以特性計算值和實驗值的擬合誤差的平方和作為判斷準則，通過應用遺傳演算法最小化二乘準則函數來獲取電機參數。
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