預報誤差 的英文怎麼說

中文拼音 [bàochā]
預報誤差 英文
forecast error
  • : Ⅰ副詞(預先; 事先) in advance; beforehand Ⅱ動詞(參與) take part in
  • : Ⅰ動詞1 (告知; 報告) report; declare; announce 2 (回答) reply; respond; reciprocate 3 (答謝)...
  • : 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...
  • 預報 : [訊] forecast; forecasting; prediction
  • 誤差 : error
  1. 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方法、統計建模方法、隨機分析理論、最小均方原則等等數學理論及方法有機揉合,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)方分析法;再次,將這一方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方式,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的困難所在及改進方向。
  2. The method based on the principle of maximum entropy ( pome ) is applied to analyze the distributions of flood forecasting errors for some typical reservoirs in humid and semi - humid regions

    摘要採用最大熵原理( pome )方法,對我國濕潤和半濕潤地區部分典型水庫的洪水預報誤差分佈規律進行了研究。
  3. It is found that the distributions of flood forecasting errors both in humid or semi - humid region approximately obey the law of normal distribution and the method based on pome is effective for calculating the distribution of flood forecasting errors

    結果表明,我國濕潤和半濕潤地區的洪水預報誤差近似服從正態分佈,且採用陽me方法計算洪水預報誤差分佈是可行的。
  4. Neural network control is an important mode of intelligent control, and it is widely used in branches of control science, first, the architecture and the learning rule ( error back propagation algorithm ) of multiplayered neural network which is widely used in control system are presentedo especially, the paper refers to the architecture of diagonal recurrent neural network and its learning algorithm - - - - - recurrent prediction error algorithm because of its faster convergence with low computing costo next, before introducing the neural network control to the double close loop dc driver system, the controllers of current and velocity loop are designed using engineering design approach after analysis of the system, simulation models of the system are created

    神經網路控制是智能控制的重要方式之一,它廣泛應用於自動控制學科各個領域。本文首先敘述了控制系統中常用的多層前饋網路結構及演算法( bp演算法) ,特別提及了能夠較好描述系統動態性能的對角遞歸神經網路和在用遞推預報誤差演算法訓練drnn時取得了較快的收斂速度。其次,應用工程方法分析設計了tf - 1350糖分離機的電流、轉速雙閉環直流調速系統的控制器,作為引入神經網路控制的設計基礎,並建立了系統的模擬模型。
  5. The prediction error percentage of the 52000t all - purpose cargo ship compared with the model test result is 21. 8 %, 300000t vlcc compared with the measured value is merely 3. 64 %

    用該公式的5 . 2萬噸多用途貨船的脈動壓力值與空泡水筒中的實驗值相比為21 . 8 % ;了30萬噸超大型油船的激振力並由該激振力算出的尾端振動速度值與實測值相比僅為3 . 64 % 。
  6. The probability density function of net rainfall relative errors, flood peak discharge relative errors and the time error of the forecasted flood peak are calculated by the model developed

    通過建立洪水預報誤差分佈的最大摘模型,計算出9座典型水庫洪水的凈雨相對、洪峰流量相對和峰現時間預報誤差的概率密度函數,並將其概率密度函數曲線與正態分佈曲線進行比較。
  7. On - line results indicate that the predicted results are more accurate with a relative error within 3 %

    應用結果表明,採用本方法軋制力時精度優于傳統的數學模型,相對可以控制在3 %以內。
  8. 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結果優于傳統的基於絕對平方和作為目標函數的bp演算法所得結果。
  9. Based on the principal of the least prediction error and introduced relation analysis method, a new prediction method was advanced in the field of local climate prediction

    摘要針對局地短期氣候變化的非線性特徵及其難以用模型準確刻畫的現狀,根據預報誤差最小原理,引入關聯度分析,提出了一種關于局地短期氣候測的關聯度方法。
  10. The horizontal scalelength of model variables ( u. v. t, p and q ) is closely related to the average time of nmc technique and convective parameteric scheme of mm5 which affect the 12h and 24h outputs of mm5 integration

    、 、 、 t 、 p和q )對應的水平尺度與nmc方法中預報誤差的平均時間長度和模式提供1zh和24h所選用的積雲參數化方案有直接的關系。
  11. 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,方程的殘平方和平均減少23 . 8 % 。
  12. Further analysis on the model forecast residuals indicate that the residual time series does not follow a normal distribution but rather exhibits non - gaussianity ; similarly too, the existence of persistent pattern in the error / residual structure is discernibly evident

    對模型進一步分析可知,殘的時間序列並不服從正態分佈,而是呈現出了逆高斯分佈。同樣,在/殘結構中存在著非常明顯的固定模式。
  13. First, the error transfer characteristic among subsystems at different space locations is analyzed, and the direct transfer characteristic from discrete standard measure space to the workpiece measure space under measured in measure system is proven. second, the error reconstruction condition and method of mapping from discrete standard measurement system to continuous standard measure space are analyzed. based on the measurement sample stationarity in limited distance, the prediction model ' s limited astringency and mensurability to the dynamic measuring error and the prediction error respectively are proven

    分析了不同空間位置子系統間的傳遞特性,證明了在測量系統中離散標準量值空間向被測量工件量值空間的直接傳遞性;分析了離散標準量系統向連續量值空間映射的重構條件和方法;基於測量樣本的有限距離的平穩性,證明了模型對動態測量的有限收斂性和預報誤差的可測度性,進而證明了以離散標準量值系統對被測工件修正的可行性和合理性。
  14. Grell scheme can simulate pw more accurate than others for coarse grid of mm5 and pw simulation of bm scheme is less accurate than others for fine grid of mm5. 3, the initial humidity fields reanalyzed by using gps pw can obviously improve its capability in revealing the water vapor distribution, which can result in restraining pw prediction bias during the earlier period of model integration so as to improve pw prediction

    3 、用gps測量的可降水量資料調整mm5模式濕度初始場可明顯增強模式初始場描述水汽分佈的能力,使其對可降水量的描述明顯減小,有利於模式初始場更好地反映出水汽分佈的局地特徵,從而有效地控制模式積分初期對可降水量的預報誤差
  15. Wavelet networks are used to model the prediction error to compensate for the predictive output

    為了提高輸出精度,採用小波網路對預報誤差進行測,作為輸出的補償。
  16. So an n - steps - ahead moving horizon prediction method is proposed. the fault is predicted conveniently by the prediction of unknown - input and prediction error

    通過未知輸入的測值和狀態的的變化可以方便地實現故障
  17. With pseudorandom binary sequence as inspiriting signal, feedback data is collected and time - domain and frequency - domain characteristic of the steering gear is analyzed. according to the results, system delay is determined. applying predictive error identification method, by comparing the different order model, model structure and parameters of the steering gear is determined

    以偽隨機二進制序列為激勵信號,收集了反饋數據;利用收集的數據,對舵機進行了時域和頻域特性分析;並以此為參考,確定了系統的延時量,應用預報誤差的辨識方法,通過不同階次模型間的比較,從而確定了舵機模型結構及參數。
  18. ( 2 ) wavelet networks are introduced to gpc. several nonlinear gpc algorithms based on wavelet networks are given : a nonlinear gpc base on predictive error compensation is designed, in which wavelet network is used to model the predictive error ; a new structure of multi - step predictive controller is constructed in which wavelet networks are used to identified the nonlinear directly ; a single - step predictive controller is given, in which a wavelet networks are used to estimate the parameters of the linear time - varying system. ; an a implicit gpc for nonlinear system is presented, in which wavelet networks are used to estimated the time - varying parameters of the generalized predictive controller

    ( 2 )將小波網路與非線性廣義測控制相結合,設計了多種基於小波網路的非線性廣義測控制:考慮到建模對多步的影響,引入小波網路估計預報誤差,對輸出進行修正,提高了控制性能且不影響系統的穩定性;利用小波網路構造多步測器,設討了非線性系統多步測控制演算法;利用小波網路逼近非線性系統廣義測控制器的時變參數,設計了非線性系統隱式廣義測控制器;利用小波網路辨識時變系統參數並直接用於構造控制器,設計了非線性系統單步測控制演算法。
  19. A dynamic nonlinear system is identified through recurrent nn using back propagation ( bp ) algorithm and dynamic bp algorithm respectively

    然後利用遞歸網路對動態非線性系統進行辨識,並與傳統的預報誤差方法作了比較。
  20. Using the function, the relations between dynamic error data comparability and data correlation function are deduced, and the evaluating method that assesses the model ' s prediction error using correlation function ' s relative error is built. the effective prediction space concept is established, on the base of these, this paper deduces two representations " evaluating equation, one evaluates the prediction error and the other evaluates the prediction error in limited space

    提出以樣本距離空間范數來描述數據間相似程度並定義了相似度函數,推導出動態數據相似度與數據相關函數之間的關系,建立了以相關函數相對來評定模型預報誤差的評定方法,建立了有效空間的概念,推導出了預報誤差的評定公式和在有效空間中的兩種表示形式。
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