期望誤差 的英文怎麼說

中文拼音 [qīwàngwùchā]
期望誤差 英文
anticipation error
  • 期 : 期名詞[書面語]1. （一周年） a full year; anniversary 2. （一整月） a full month
  • 望 : Ⅰ動詞1 （向遠處看） look over; gaze into the distance; look far into the distance 2 （探望） visi...
  • 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...
  • 期望 : 1. （抱有希望的想法） hope; expectation 2. （希望; 期待） hope; expect; wish
  • 誤差 : error
  1. Mae of hourly load prediction reduced to 65. 07kwh and eep reduced to 2. 60 %. this kind of model has not been reported by literature. a cost - minimum model for ice storage system is established and numerical calculation is carried out

    建立了空調逐時負荷的24小時提前預測多點輸出動態模型，更進一步提高了負荷預測的精度，使得逐時負荷預測平均絕對誤差降低到了65 . 07kwh ，期望相對誤差降低到了2 . 60 。
  2. If measurement errors occur randomly, one can expect their mean to approach zero.

    如果測量誤差隨機產生，可以期望他們的平均值近於零。
  3. A cascaded architecture is adopted, where desired propeller rate of revolution is generated by solving a static 2nd order equation with a parameter of desired thrust force, which is the input of the speed / position tracking control

    在推進器動態模型的基礎上，採用滑模控制的方法，由速度位置誤差獲得期望推力，再通過求解包括來流速度的二次方程得到期望螺旋槳轉速。
  4. According to the research results from som model, 8 sub neural network is adopted in inner and mae of hourly cooling load prediction is reduced 80. 64kwh. expected error percentage ( eep ) is reduced to 3. 27 %. next 24 hours hourly cooling load prediction multi - output dynamic model is established and prediction accuracy is improved again

    建立了一個統一的空調逐時負荷的24小時提前人工神經網路預測模型，並根據對日冷負荷類型的som分類結果，通過在內部一共採用8個子神經網路模型使得逐時負荷預測平均絕對誤差降低到了80 . 64kwh ，期望相對誤差降低到了3 . 27 。
  5. Solving the elliptic grid generation together with an algebraic method marching along the normal - to - wall direction, viscous grids around complex geometries are generated. the inner - layer grids with the algebraic method is othogonality and easy to control the distance to the wall. according to the hilgenstock, the source items are calculated to control the othogonality and spacing of grid lines on boundaries

    法向外推方法生成的內層代數網格具有很好的正交性，可隨意控制網格至物面距離，確保邊界層內有足夠多且密的網格；外層網格採用hilgenstock方法，根據網格線角度和距離與期望值之間的誤差不斷進行源項修正，實現網格對邊界正交性和距離的雙重控制，保證了網格的合理分佈並具有較高的質量。
  6. 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向期望的位置（與地理坐標系重合） ，它是按誤差方程進行控制的，過去在平臺系統中採用頻率特性方法，目前已經採用了現代控制理論設計方法。
  7. Impedance parameters were modified to improve the force control performance by the fuzzy impedance controller according to the difference between the actual and the desired position

    模糊阻抗控制器可以根據機器人末端實際位置和期望位置的誤差調整阻抗參數，從而提高控制性能和加工效果。
  8. Realization of improved bp algorithm - single output three layers " artificial neural network generator base on improved bp algorithm has been developed by the author, and the generator has some functions that the number of neuron in first and second layer and theirs related training parameters such as learning rate. momentum factor a and the value of sum error e can all be self - defined by the users ; connection weights and threshold in each layer ' s neuron training data and teaching signals can also be input or modified in the friendly interface

    生成器功能是:網路結構中的第一、二層神經元個數和訓練參數中的學習速率粉，動量因子a和期望誤差值:可由用戶在一定范圍內自定義;各層的權值、閥值、網路初始樣本值及教師值可在友好的界面下輸入、修改。
  9. It can take advantage of the advancement of hmm and gmm, utilize dynamic programming technique to realize the nonlinear time alignment between speech feature vectors and markov state sequences, use expectation - maximum algorithm to re - estimate the gmm parameters and finally employ levenshtein distance to calculate the word error rate between the recognized and expected results

    它將隱markov模型和gaussian混合密度分佈緊密聯系，結合動態規劃演算法對時間序列和markov狀態鏈進行非線性時間對齊，並運用em演算法對gaussian混合模型的參數進行重新估計，識別出來的結果與期望結果採用levenshtein距離進行比較並得出其字誤差率。
  10. Robert ting - yiu chung, director of public opinion programme, observed, " the popularity rating of donald tsang has come down a bit from its record high, but his support rate has gone up a bit, both changes being within sampling errors. in other words, tsang s popularity has not changed much after he stepped into his post - election honeymoon period

    民意研究計劃主任鍾庭耀分析：曾蔭權的民望支持度由歷史高位略為回落，但支持率就略為上升，兩者變化都在抽樣誤差之內，換言之，曾蔭權的民望在進入當選后的蜜月期仍變化不大。
  11. The public opinion is clear on the last point and civil servants accept modest pay cuts. even if we cannot dissuade the government from deploying unfair tactics, at least we can end up with the correct and undisputed solution in the end. this is also consistent with our original intention that we would do everything we can to protect the innocent third parties from any direct harm in this, what is essentially a subject matter of internal management of the administration

    事到如今，我承認現實與個人的主觀願望有很大的差距，例如，在開始期間，同情公務員遭遇的取態太過明顯，未能在給王局長的公開信和給香港的家書的內容上，做到不偏不倚，致令到了作出最後決定的時候，外界對早餐會產生了不少的誤解，這個判斷和處理上的錯誤，值得自我檢討。
  12. But the standard mc has some shortcomings : firstly, the standard mc picks up isosurfaces by threshold, however, threshold segmentation is invalid for picking up tissues or organs from some medical images ; secondly, the standard mc pocesses cubes one by one, that is to say, all the cubes will be checked, and the algorithm spents 30 % - 70 % of time to check the null units, so we need a reasonable data structure to travel the space data and accelerate the checking or filting of null units ; thirdly, the standard mc has a large scale of triangles, normally, the tissue or organ reconstructed includes hundreds of thousands so much as millions of triangles, this means it hardly to execute real - time rendering or interaction ; lastly, the standard mc can not get the very smoothly surface mesh, and there will be some unexpected accidented cases, especially in the case of big errors in oringinal data

    但是標準mc演算法存在較大的問題:標準mc演算法實質上是通過閾值分割來提取等值面，閾值分割對某些醫學圖像的組織或器官的提取難以得到較好的效果;標準mc演算法是逐個移動立方體來進行處理，就是說對所有的立方體都要進行一次檢測，演算法執行中30 % ~ 70 %的時間用在對空單元的檢測上，因此需要有一種合理的數據結構對空間數據進行有效的遍歷，以加速對空單元的檢測和過濾;標準mc演算法產生了大量的三角面片，一般重建的組織或器官包含數十萬甚至上百萬的三角面片，難以實現實時的繪制和交互操作;標準mc演算法得到的表面網格並不光滑，會有一些不期望的凹凸，特別是在原始數據有較大誤差的情況下尤其突出。
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