測度收斂 的英文怎麼說

中文拼音 [cèdùshōuliǎn]
測度收斂 英文
convergence in measure
  • 測 : 動詞1. （測量） survey; fathom; measure 2. （測度; 推測） conjecture; infer
  • 度 : 度動詞[書面語] （推測; 估計） surmise; estimate
  • 收 : Ⅰ動詞1 （把攤開的或分散的事物聚集、合攏） put away; take in 2 （收取） collect 3 （收割） harvest...
  • 斂 : Ⅰ動詞1 （收起; 收住） hold back; keep back 2 （約束） restrain 3 （收集; 徵收） gather; collect; ...
  • 收斂 : 1 （減弱或消失） weaken or disappear 2 （約束言行） restrain oneself 3 [數學] convergence; constr...
  1. The inversion results of synthetic magnetotelluric sounding data are ideal, which indicates that the algorithm possesses advantages of expediting convergence, avoiding earliness and improving precision, and can be used in mt data analysis

    對各種類型的大地電磁測深理論曲線進行計算，結果表明：採用實數編碼混合遺傳演算法進行反演具有收斂速度快、解的精度高和避免出現早熟等優點，可用於大地電磁資料解釋。
  2. Immune clone strategy is introduced into c - means algorithm, which can effectively tackle those problems of nonstability, slow convergence and nonideal clustering that exist in ids with the traditional c - means. the experimental results reveal that the system can detect variety of unknown abnormal intrusions, and demonstrate that our combined clustering algorithm has good performance

    實驗結果證明該上述兩種演算法有效地克服了傳統c -均值聚類演算法在解決入侵檢測問題中的穩定性差、收斂性不好和聚類效果不理想等問題，並能在一定程度上檢測到未知的異常入侵行為。
  3. A chaos optimum and neural network calculation model was built based on plenty of testing data of concrete intensity to cover the shortage of single bp neural network, such as slow astringency and easy torpidity

    摘要依據混凝土標準試塊強度檢測數據，建立了混沌優化的神經網路計算模型，從而克服傳統bp網路收斂速度慢、易出現麻痹現象等不足。
  4. The convergence of integrals of s. i. s. vector random measures with respect to a white noise

    向量隨機測度關于白噪聲的積分的收斂性
  5. Instruction detection technology is core in instruction detection system, it include abnormity instruction and abused instruction detection, on the basis of traditional network security model, ppdr model, instruction detection principle and instruction technology analysis, the author has brought forward instruction detection method based genetic neural networks, adopted genetic algometry and bp neural networks union method, and applied in instruction detection system, solve traditional bp algometry lie in absence about constringency rate slowly and immersion minim value

    入侵檢測分析技術是入侵檢測系統的核心，主要分為異常入侵檢測和誤用入侵檢測。作者在對傳統網路安全模型、 ppdr模型、入侵檢測原理以及常用入侵檢測技術進行比較分析的基礎上，提出了一個基於遺傳神經網路的入侵檢測方法，採用遺傳演算法和bp神經網路相結合的方法?遺傳神經網路應用於入侵檢測系統中，解決了傳統的bp演算法的收斂速度慢、易陷入局部最小點的問題。
  6. Aiming at the nonlinearity of state and measure equation and measurement being only angle information, which results in poor observability and classical estimate methods such as extended kalman filter not converging, the boost phase states and covariance are estimated using unscented kalman filter ( ukf )

    針對狀態方程和觀測方程都是非線性方程，觀測量只有角度信息，造成可觀測性弱、經典的濾波演算法如擴展卡爾曼濾波方法不易收斂的問題，利用unscented卡爾曼濾波ukf演算法對主動段進行狀態和協方差估計。
  7. The main characteristics and advantages are : on one hand, we adopted the low - complexity bussgang algorithm, and did blind estimation to ofdm sub - channel according to the mean square error criterion ( mse ) and peak distortion criterion ; on the other hand, we used the differential detection, which accelerates the convergence speed and avoid the error transmission problem resulted from the bussgang algorithm

    這兩種演算法一方面採用了低復雜度的bussgang自適應演算法，分別依據均方誤差準則和峰值失真準則對ofdm系統子通道進行盲估計；另一方面通過引入差分檢測技術，加快了演算法收斂速度，克服了bussgang演算法帶來的誤差傳播問題。
  8. The paper discusses the relations between complete convergence and almost uniform convergence, almost everywhere convergence, convergence in measure of fathomable functional sequence, and presents two common properties and one decision theorem

    摘要討論了可測函數序列完全收斂與幾乎一致收斂、幾乎處處收斂、依測度收斂之間的關系，並給出了它的兩個常用性質和一個判定定理。
  9. The method of sobel edge detection is used to get the initial position and orientation value of optimization in order to improve the convergence speed. the iteration numbers and feature abstraction effect are compared with the method in which the initial value is randomly created

    演算法使用sobel邊緣檢測方法，給出優化初始位置和方向，以提高優化的收斂速度，針對提取特徵時的優化迭代次數和提取特徵的效果與隨機產生優化初始值的方法進行了比較。
  10. The specific research methods include : the reliability and validity of the scale ( cronbach ’ s of the scale, split - half reliability, the reliability of each dimension, discriminant validity, convergent validity ) ; the factor analysis method to get the dimensions of internal service quality ; the independent - samples t - test and paired - samples t - test method to analyze every discrimination of internal service quality ; the comparison of means to evaluate the sequence of every dimension

    具體的研究方法包括:對量表進行信度和效度分析，包括整個表的cronbach系數、分半信度、各維度的信度、區別效度和收斂效度的分析;使用因子分析的方法測量內部服務質量包含的維度;採用兩獨立樣本的t檢驗和兩配對樣本的t檢驗的統計方法對內部服務質量各差距進行分析;通過對樣本均值的比較，分別得出各維度在員工和管理者心目中的重要性排序。
  11. A new harmonic analysis method for electric power systems based on triangle basis functions neural network was presented, the convergence theorem of the algorithm was proposed, and a window function and interpolation algorithm were employed to correct the frequency of fundamental waves

    摘要提出了一種新的基於三角基函數神經網路的電力系統諧波測量方法，給出了該神經網路演算法的收斂定理，並採用加窗插值演算法修正基波頻率的準確度。
  12. Adopts vdsm process technology however two outstanding problems are faced to ic layout design when the feature size reaches to 0. 18 m or lower : 1. timing convergence problem seriously affects the circuits schedule, and the interconnect - delay has exceeded more than 70 % of the total circuits ’ delay. 2. si problem, usually it consists two aspects of ir - drop and crosstalk. these problems often affect the chip function after tapout

    本篇論文就是針對超深亞微米階段soc晶元後端設計所面臨的挑戰，提出了運用連續收斂的布局布線策略，尤其是虛擬原型的設計理論，來快速驗證布局，進而提高布線的成功率，並且提出了一種改進的布局評估模型，提高對soc晶元預測布線的準確度;同時，對于時鐘驅動元件選擇，文中提出了一種基於正態分佈模型來達到更有效的選取。
  13. Finally, a soft sensor model of melt index in polymer reaction based on the proposed method is established, and the simulation results show that in contrast to the traditional fuzzy neural network the proposed method is not sensitive to initial parameters and possesses good convergence capability and prediction precision

    最後用該建模方法建立了聚合反應中熔融指數的軟測量模型，並與完全基於梯度下降的模糊神經網路軟測量模型進行比較。結果表明改進的模糊神經網路對初始值的選擇不敏感，並且具有很好的收斂性，同時還能達到指定的預測精度，很適合工程應用。
  14. Abstract : the design problem of reduced - order state observer for a class of multi - input multi - output ( mimo ) nonlinear time - varying systems is studied in this paper. a new design method of nonlinear reduced - order state observer is proposed, and the exponential convergence is proved for the proposed state observer. the observer has the characteristics of that the speed of convergence is adjustable. finally, an example is given to show that this approach is effective

    文摘:研究一類多輸入多輸出（ mimo ）非線性時變系統的降維狀態觀測器設計問題.提出一種非線性降維狀態觀測器設計方案，並從理論上證明了狀態觀測誤差的指數收斂性.其中設計的降維狀態觀測器具有收斂速度可調的特性.最後給出了數值算例，模擬結果表明了本文方法的有效性
  15. The artificial neural net ( ann ) way is universal regard as one of the most effective ways of stlf. in this paper, some research is developed for stlf using ann ways in several parts : the first part is about the arithmetic of ann based on bp model, namely the advanced of traditional bp arithmetic, one alterable step and scale bp arithmetic based on comparability of model and probability of accepting bp arithmetic is used to enhances a lot the convergence rate of learning process of bp network, but also avoid the stagnation problem to some extent. it indicates that the ann ' s efficiency and precision by the way can be ameliorated by the simulation of real data

    神經網路方法在短期預測中已經被公認為較有效的方法，本文針對神經網路用於電力系統短期負荷預測的幾個方面展開研究工作：第一部分研究一般用於負荷預測的神經網路bp模型的演算法，即對傳統的bp演算法的改進，將一種基於模式逼近度和接受概率的變步長快速bp演算法應用到短期負荷預測，模擬結果表明該方法有效的改善了bp演算法收斂速度慢以及容易陷入局部最小點的缺點，從而提高了神經網路用於負荷預測的效率和精度。
  16. Based on the discussions of the conventional and recent methods of short term load forecasting such as time series, multiple regression approaches and artificial intelligence technologies, this paper presents a hybrid short term forecasting model which combines the artificial neural network ( ann ) and genetic algorithm ( ga ). in order to improve the convergence speed and precision of the back - propagation ( bp ), a new improved algorithm - the adapted learning algorithm based on quasi - newton method is given

    本文首先分析比較了電力系統短期負荷預測的傳統方法時間序列法和回歸方法以及最近的專家系統和神經網路技術的優點和不足，然後針對人工神經網路bp演算法的不足對其進行了改進，採用了基於擬牛頓的自適應演算法，它提高了網路學習效率，具有較快的收斂速度和較高的精度。接著提出了改進的遺傳演算法來改善神經網路的局部收斂性。
  17. When analyzing network ' s capability, the new method and the method based on conventional bp algorithm are respectively applied to predicting reservoir water saturation in lin pan - shui oil field. the result shows that the former is more improved than the latter in the convergent speed and the error precision

    在進行性能分析時分別用新方法和基於傳統神經網路的方法建立臨盤水油田儲集層含水飽和度預測模型，前者比後者在收斂速度和誤差精度上有較大的提高。
  18. An algorithm for detecting moving ir point target in complex background is proposed, which is based on the reverse phase feature of neighborhood ( rpfn ) of target in difference between neighbor frame images that two positions of the target in the difference image are near and the gray values of them are close to in absolute value but with inverse sign. firstly, pairs of points with rpfn are detected in the difference image between neighbor frame images, with which a virtual vector graph is made, and then the moving point target can be detected by the vectors ' sequence cumulated in vector graphs. in addition, a theorem for the convergence of detection of target contrail by this algorithm is given and proved so as to afford a solid guarantee for practical applications of the algorithm proposed in this paper. finally, some simulation results with 1000 frames from 10 typical images in complex background show that moving point targets with snr not lower than 1. 5 can be detected effectively

    基於運動點目標在鄰幀差分圖像中所具有的近鄰反相特徵，即運動點目標的兩個位置相鄰近、灰度值一正一負，提出一種在復雜背景下，基於紅外序列圖像的運動點目標檢測演算法.本演算法利用該特徵在鄰幀差分圖像中檢測反相點對，進而構造反相點對矢量圖，最後依據累積反相點對矢量圖中多矢量首位相接的連續性檢測出運動的點目標.文中給出並證明應用本演算法能以概率1檢測到運動點目標的收斂性定理.對典型復雜背景下10幅1000幀圖像的模擬結果表明，當信噪比大於或等於1 . 5時，可以有效檢測出運動點目標
  19. Specifically, according to the w - w five parameters failure theory, the fracture criterion of crack is established, and the state of crack ( open or close ) is judged by the values of the crack strain. combining the two points, the predict - model about the failure of concrete material is established. this predict - model can predict 16 failure forms, and basing the different failure form predicted after crack, the stress - strain relationship matrix of concrete material is adjusted

    具體來講，根據w - w的五參數混凝土破壞理論，建立混凝土的開裂準則，根據開裂應變值來判斷裂縫是張開還是閉合，從而在兩者基礎上建立了裂縫的開裂預測模式，總共有16種開裂模式；裂后根據具體的開裂模式及殘余抗剪能力來調整混凝土的本構關系矩陣，即用等效剛度代替原有剛度，考慮到垂直於裂縫方向的剛度為零，這樣會使裂后的總剛出現病態，為此文中通過引用鬆弛系數來對出現裂縫的單元進行預處理，一方面可解決因過大的舍入誤差導致計算結果的不可信問題，另一方面就是可加速收斂。
  20. Equivalence theorem about weak convergence of probability measures ' convolution powers on locally compact groups

    局部緊群上概率測度卷積冪弱收斂等價性定理
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