velocity of convergence 中文意思是什麼

velocity of convergence 解釋
收斂速度
  • velocity : n. 1. 迅速；快速。2. 速度，速率。3. 周轉率。
  • of : OF ＝Old French 古法語。
  • convergence : n. 1. 聚合，會聚，輻輳，匯合。2. 集合點；【數、物】收斂；【生物學】趨同（現象）。
  1. The result indicates that, in the course of the rainstorm in huoshan, there are obvious low - level jet of great intensity, infection of mesoscale shear line, enhancement of plus vorticity which increases intensity of convergence, improves ascending velocity and brings on precipitation, and quick enhancement of helicity which provides the basis to forecast, in addition, convergence of moisture flux and analyzed potential vorticity which reflects baroclinic convective instability sufficiently indicate the characteristics of the rainstorm

    結果表明：此次霍山暴雨發生前後，存在明顯的大強度低空急流，並受到中尺度切變線的影響，而且正渦度的加強引起了輻合加劇，提高了上升速度從而引起降水，同時暴雨發生前螺旋度的迅速增強，也為預報提供了根據，另外水汽通量的輻合以及分析位渦反映出的斜壓對流不穩定都充分體現了這次降水的特點。
  2. Compared with straight ray tracing, inversion of bending ray tracing is better when data of test are accurate. on the other hand, natural weight is introduced and numerical simulations and experiments of wlm on inversion of velocity and attenuation are also made, which show that wlm, with resistance of noises and convergence of iteration, may get good re - construction images

    本文引入了物理意義明確的自然權，對基於自然權的加權阻尼最小二乘反演演算法（ wlm ）在速度反演、衰減反演中進行了數值模擬和試驗研究，結果表明wlm均能獲得良好的重建圖像，迭代收斂，抗噪能力強。
  3. 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。
  4. It was well known that the main process of precipitation formation was collecting cloud water in the warm area and ice phase particles melting in the cold area. positive vertical velocity existed between 700hpa and 500hpa in the warm area and near surface in the cold area. wind convergence existed at the height of 700hpa, and divergence existed above and below the height of 700hpa

    通過對降水雲系的綜合研究，建立了河南省春季層狀雲降水概念模型：暖區降水主要通過雲水碰並形成，冷區降水機制以冰粒子融化等冷雲過程為主;暖區700一50ohpa通常有上升氣流，冷區上升氣流分佈在近地面附近: 700沖a存在風場的輻合，其上下則主要是輻散區;水汽主要集中在7o0hpa高度上，暖區水汽來自南、東南方向，冷區水汽以西南輸送為主;暖區位勢不穩定分佈在o 。
  5. The numeral calculation results agree with the given velocity distribution, and the rate of convergence is quick

    數學計算結果與設定振速分佈一致，同時收斂速度也很快。
  6. The findings show that there exists overlap between macroscale convergence and warm advection if the degree of clock - wise turn dosen " t keep constant on both sides of zero doppler velocity contour about the near range of the observational site. the overlap produces vertical vapor transport and upward convergence movement favorable for formation and continuation of rain gush

    結果表明：零速度帶在測站近距離兩側的彎曲程度不一致是暖平流與大尺度輻合運動的迭加所造成，這一結構為暴雨產生和維持提供了有利的水汽垂直輸送和輻合上升運動。
  7. While the streamline model has greater advantages than that of black oil model in calculation accuracy, velocity and convergence

    而運用流線模型在計算精度、速度和收斂性方面均較黑油模型有很大優勢。
  8. There are two parts in this paper : firstly, a set of single doppler velocity models are presented for typical ambient windfields that include those of being uniform horizontally, macroscale convergence and divergence, which overlap warm and cold advection. which are marked by different signatures in the single doppler velocity field. the models proposed can help users identify useful information from the dopple velocity patterns

    本論文包括兩個部分：第一篇通過對典型風場的單多普勒天氣雷達徑向速度圖象進行模擬，典型風場包括水平均勻一致的風場、非均勻水平風場的大尺度運動的輻合輻散風場以及大尺度運動的輻合輻散風場與冷暖平流的迭加等。
  9. Making use of the idea of the parallel genetic algorithms, presenting the adaptive multiple subpopulation evolutive strategy. presenting extinction and immigration strategy in order to avoid the similar or even same individuals appear. in order to enhance convergence velocity of reactive power optimization of the radial distribution system, combining the characteristic of the radial distribution system, a sensitivity analysis approach was build up for optimal selection of capacitors and mutation of transformer tap changer

    為了提高配電網無功優化的收斂速度，結合配電網的特點，提出採用簡單可行的靈敏度公式選擇無功電容補償器的安裝地點，並用靈敏度分析變異變壓器分接頭，使變異運算元的選取更符合配電網無功優化問題中關于調節變壓器分接頭的實際情況，減少了一些不必要的變異運算，使適應性和魯棒性加強；根據實際情況採用無功補償電容器的啟發式變異，使變異運算元的選取更符合無功優化問題中關于補償電容器的實際。
  10. A new robust adaptive scheme which are used for tracking of this robot with parametric and bounded external uncertainties is proposed in this thesis. the controller is consist of a controller which is proposed by slotine1 ' 1 and nonlinear continued feedback compensation part. by estimating the unknown physical parameters of robot on - line, it can eliminate the effects result by parameters and external disturbances and guarantee gas and uniform boundedness of parametric estimation. the only information required in setting up the strategy is the output states of jionts, while the inversion of the inertia matrix or estimation the bound of the inertia matrix and measure the jionts accelerations are not needed. it is shown by simulations that the proposed control scheme has quicker convergence velocity and better control precision than paper [ 1 ] and control schemes at present

    針對該模型具有參數及有界外部擾動不確定性時提出了一種新的魯棒自適應控制策略，控制器由基於slotine的控制器和非線性連續反饋補償控制器構成。通過在線估計機器人的未知物理參數，有效的消除了由參數及外部擾動所引起的不確定性影響，保證系統達到漸近穩定和參數估計一致有界。與現存的許多控制方法相比，該控制策略不需求解慣性矩陣的逆或估計慣性矩陣的界，不需測量關節加速度，而唯一需要了解的只是系統輸出的位置及速度狀態。
  11. Chapter 4 presents an error back propagation algorithm with quadratic momentum of the multilayer forward neural networks that will speed up the error convergence velocity

    本文提出一種帶二次動量項的多層前向網路誤差反傳演算法，提高了神經網路的誤差收斂速度。
  12. Simulation results showed that cppga improved the convergence velocity and search probability of optimization solution, and got good optimization strategy for fire distribution

    模擬結果表明，混沌偽并行遺傳演算法比偽并行遺傳演算法和簡單遺傳演算法具有更快的收斂速度和更高的最優解搜索成功率，可對火力分配進行優化。
  13. Some methods are put forward for improving the convergence rate of the coa ( chaos optimization algorithm ) based on second carrier wave, which can greatly increase the velocity and efficiency of the first carrier wave to search for the optimal point at comparatively rough precision, and the refined search can be performed during second carrier wave more quickly as well as accurately

    摘要針對一般的基於二次載波的混沌優化方法收斂慢的弱點，提出了一些改進的方法，大大提高了首次載波尋找最佳點大概位置的速度和效能，同時能更快更精確地實現二次載波的精細搜索。
  14. The numerical simulation of the cabin indicates : the normal k - model is adaptive to simulate the air flow ; the simplen algorithm can satisfy the requirement of calculation for its rapid convergence velocity ; the second order accurate supg in advection discretization scheme can attain more precise result

    模擬結果得出如下結論：標準k -模型對系統流動模擬是適合的； simplen演算法收斂更快，滿足運算的需要；採用二階supg的對流項分離方案可以獲得更高的計算精度。
  15. The several ones that have more lager sensitivity to embankment settlement are found out. then, aimed at the traditional three - layer bp network ' s shortages : easily getting into local minimum value and slow convergence, the modification combined momentum method with self - adaptation study velocity is made, and one improved bp network is put forward. finally, according to the results from above sensitivity analyses, the nonlinear model main parameters of each natural layer in roadbed are approximately rectified using the improved bp network technology founded on its stronger nonlinear mapping capacity and the settlement measurements

    採用非線性有限元程序，對鄧肯-張模型中8個參數與路堤沉降的關系進行了詳細分析，找到了影響沉降的主要參數；接著，針對傳統的三層bp網路具有收斂速度慢、易陷入局部極小點等不足，對其進行了修正，提出了改進的bp神經網路模型；最後，根據上述靈敏度分析結果，基於改進的bp網路模型較強的非線性映射能力和前期沉降實測資料，對路基中各天然土層的非線性模型主要參數進行了反分析修正； （ 4 ）路堤沉降計算一維法中考慮應力歷史、側向變形的研究。
  16. In the paper, stratified flows with combined temperature and salinity are investigated on unstructured computational grids. first, unstructured, collocated finite volume method for navier - stokes equations is developed under the philosophy of generality. the pressure - velocity coupling is treated using simple - like algorithm and explicit correction step technique is applied to speed the convergence rate

    本文從該類研究的難點入手，首先，採用單元中心的有限體積法開發了通用性強，易擴展的非結構同位網格數學模型求解n - s方程，壓力校正採用simple （ simplec ）演算法，並採用顯式校正步法（ explicitcorrectionstep ）對simplec演算法進行了顯式校正。
  17. This thesis introduces the key technique of the us military distributed information system, with focuses on algorithms about related navigation of military tactics. kalman filtering combined with least square method is proposed for the current military development stage. the method of observation result including velocity component minimizes the convergence time, improves the positioning precision and acquired satisfied experiment results, which makes the pla independence of the us high - tech equipments

    本文簡要介紹了現階段美軍在戰術信息分佈系統實現中所採用的關鍵技術，重點對戰術飛機相對導航的各種實現演算法進行了深入探討，針對我軍當前在該系統領域中的技術現狀，提出了以最小二乘法輔助卡爾曼濾波，濾波過程中觀測量加入速度分量的方法，縮短了導航濾波起始階段的收斂時間，提高了定位精度，在工程上取得了較理想的實驗數據，在一定程度上擺脫了我軍在相對導航領域對美軍先進技術裝備的依賴。
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