預報誤差模型 的英文怎麼說

中文拼音 [yùbàowùchāmóxíng]
預報誤差模型 英文
prediction error mode
  • 預 : Ⅰ副詞（預先; 事先） in advance; beforehand Ⅱ動詞（參與） take part in
  • 報 : Ⅰ動詞1 （告知; 報告） report; declare; announce 2 （回答） reply; respond; reciprocate 3 （答謝）...
  • 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...
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 預報 : [訊] forecast; forecasting; prediction
  • 誤差 : error
  • 模型 : 1 （仿製實物） model; pattern 2 （制砂型的工具） mould; pattern3 （模子） model set; mould patter...
  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、最小均方誤差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）方差分析法；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誤差都較小；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預報的困難所在及改進方向。
  2. 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。
  3. 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座典型水庫洪水預報的凈雨相對誤差、洪峰流量相對誤差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。
  4. On - line results indicate that the predicted results are more accurate with a relative error within 3 %

    應用結果表明，採用本方法預報軋制力時精度優于傳統的數學模型，相對誤差可以控制在3 %以內。
  5. In error of 0. 2 degree, the model can predict 8 - 17 seconds for the ship motion

    2度的誤差量級上能預報8一門秒，說明預報模型是實用的。
  6. 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預測的關聯度方法。
  7. Firstly, a coarse forecasting model based on only the primary influencing factor ( that is the weight of iron in matte ) is built using linear regression analysis, then, an error compensating model based on other influencing factors is built to improve the result of forecast

    首先應用線性回歸技術建立了僅考慮主要影響因素（銅統含鐵量）的粗略預報模型，而後，應用神經網路技術建立了考慮到多個次要影響因素的誤差補償模型，從而改進預報效果。
  8. Aiming at the problem on taking no account of relation of forecast factors and instability of regression results caused by selected factors with no orthonormalization which would bring out error to computational results, monadic linear regression analysis and nature orthonormalization function as well as stepwise regression were integrated to establish forecast models of cold in nanjing and upper respiratory tract infection, cerebral hemorrhage as well as cerebral infarction in jinhua

    過去在選擇預報因子時沒有考慮預報因子間的相關性，挑選的預報因子由於非正交使回歸計算的結果不穩定，給計算帶來一定的誤差。針對這一問題，文章將一元線性回歸分析、自然正交函數法（ eof ）和逐步回歸方法結合起來，建立了南京感冒以及金華的上呼吸道感染、腦出血和腦梗塞的發病指數預報模型。並將模型結果與逐步回歸法建立的模型進行比較。
  9. The main features in the study of flood forecasting and control system are as follows : ( 1 ) runoff generating and confluence theory and hydro - dynamic method are adopted to predict the water level of taihu lake and key nodes, the basin wide forecasting and control system with the function of real time correction has been first established in plain river network to meet the complicated flow conditions of taihu lake basin and to enhance the reliability of forecasting results ; ( 2 ) according to the rainfall in foreseen period multiple schemes can be made in the forecasting model and adjusted with time, which overcomes the errors caused by the uncertain rainfall in the foreseen period so as to make the forecasting results approach reality

    本文所研究的預報調度系統有如下特點： （ 1 ）本系統採用產匯流理論和水動力學方法預報太湖及重要節點水位，首次在平原河網地區建立了具有實時校正功能的全流域預報調度系統。以適合太湖流域復雜的水力條件，增強預報的可靠性; （ 2 ）預報模型可以根據預見期降雨量進行多方案預報，並隨時間推移，可以實時進行調整，克服由於預見期降雨不確定引起的誤差，使預報結果更接近實際。
  10. The paper consists of several parts as following : firstly, we probe an estimating method with the time - change parameters to overcome the problem with greater errors that us think a dynamical process with the time - change parameters as a static process with the no time - change parameters and forecast the time - change parameters system by the model with the no time - change parameters

    本文主要進行了以下幾方面的工作： 1探討了一種動態系統的時變參數的估計方法，克服了以往把一個時變參數的動態過程當作了非時變參數的靜態過程，而用非時變參數模型預報時變參數系統的狀態時帶來的較大誤差問題。
  11. 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。
  12. Also, a predictive model is established with method of ssa - mem, which can be used to predict monthly mean temperature of the first half year in heilongjiang province. rms error of these two methods are both less than climatological forecast ' s, especially, independent sample is adopted in ssa - mem method

    並利用ssa - mem方法建立可用於黑龍江氣溫的年度預報模型，這兩種方法的預報均方根誤差均小於氣候預報的均方根誤差，而且ssa - mem方法是獨立樣本試驗。
  13. 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

    對模型預報殘差進一步分析可知，殘差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，在誤差/殘差結構中存在著非常明顯的固定模式。
  14. 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誤差傳遞特性，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誤差重構條件和方法；基於測量樣本的有限距離的平穩性，證明了預報模型對動態測量誤差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預報修正的可行性和合理性。
  15. The dual standard quantity ( the work piece and the discrete standard quantity ) mutual measuring and model verification methods are also proposed, which perfects the whole modifying process from data measuring, error separation, model establishment to real correction. after researching the discrete standard quantity system dynamic error separation technique, two error correction methods based on genetic algorithm and neural network mixed modeling technique are established. the two methods are the discrete standard quantity dynamic error direct / synchronous correction and prediction model correction ; the model ' s parameters and model ' s exercising method are also confirmed

    設計了雙標準量值（工件和離散標準量）互比測量的模型驗證方法，完善了從數據測量、誤差分離、模型建立到實際修正的整個修正過程；研究了離散標準量系統動態誤差分離技術，建立了基於遺傳進化演算法與神經網路混合建模技術的兩種誤差修正方法? ?離散標準量動態誤差直接（同步）修正方法和預報模型修正方法，並確定了模型結構參數和模型訓練方法；分析了預報模型的多次預報性質，並得出了多次預報與多步預報的等效關系，確定了測量系統的有效預報范圍以及模型參數對泛化誤差的影響；進行了模型的對比實驗驗證和被測工件動態誤差修正試驗，成功地實現了任意二面角和圓分度的實時誤差修正。
  16. The main conclusions are as follows : through the different structure and algorithm application of bp model in the predication of regional groundwater hydrology, the hidden layers number, learning rates, neuron number of hidden layer and training errors of bp model and accelerated bp algorithm which influence the convergence effects and test results of model are compared each other. some application technology related parameters of bp structure design are put forward

    論文取得了以下主要成果：通過不同bp網路結構和演算法在區域地下水文預測中的實例研究，重點比較了不同層次結構、隱層單元數、學習速率、訓練收斂誤差等4個基本要素及不同演算法、不同樣本容量等對模型收斂效果、模擬、檢驗與預報結果的具體影響。
  17. The author also gave the uncertainty of the prediction values in this paper according to bayes theorem. the method can be used to correct the original error model conveniently and effectively

    該方法的優點是在利用預報過程中插入的標準量時，無須對所有數據重新建模就能方便而有效地實現對原有誤差模型的修正。
  18. As a part of the project, some contents, problems and recent researches on networked control system are introduced in this paper first. in order to reduce the occupation of network bandwidth, a method which finds the maximum transmit time can guarantee the stability of discrete control system is presented. for the sake of studying the network ' s delay influence on control system, a networked control system experiment software scheme is put forward in the last part of the paper

    文中介紹了網路控制系統的一些基本概念、問題及目前的研究成果，提出在採用模型狀態反饋控制律並考慮網路延時情況下，保證離散網路控制系統穩定的最大通訊間隔的選取方法，並研究了建模誤差對最大通訊間隔的影響，介紹了通過預報的手段減小網路延時對控制系統影響的方法。
  19. 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。
  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預報數據間相似程度並定義了相似度函數，推導出動態誤差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誤差來評定模型預報誤差的評定方法，建立了有效預報空間的概念，推導出了預報誤差的評定公式和在有效預報空間中的兩種表示形式。
分享友人
分享到 Line

分享到臉書