逼近速度 的英文怎麼說

中文拼音 [bījìnsùdù]
逼近速度 英文
rate of approach
  • 逼 : Ⅰ動詞1 （逼迫; 給人以威脅） compel; force; drive; threaten 2 （強迫索取） extort; exert pressure ...
  • 近 : Ⅰ形容詞1 （空間或時間距離短） near; close 2 （接近） approaching; approximately; close to 3 （親...
  • 速 : Ⅰ形容詞（迅速; 快） fast; rapid; quick; speedy Ⅱ名詞1 （速度） speed; velocity 2 （姓氏） a surna...
  • 度 : 度動詞[書面語] （推測; 估計） surmise; estimate
  • 逼近 : 1 （靠近 接近） press on towards; gain on [upon]; approach; crowd on; close in on; draw near 2 [...
  • 速度 : 1. [物理學] velocity; speed; blast; bat 2. [音樂] tempo3. （快慢的程度） speed; rate; pace; tempo
  1. The successive approximation converter is of medium speed, and average resolution.

    逐次逼近式轉換器具有中等的速度和解析度。
  2. The method proposed in this thesis do well in solving the problems of multi - damping - ratio - spectra simulation. it is convenient to obtain the pareto optimal solution set of the multi - object question by using implicit parallel genetic algorithms and the method can meet the practical needs for simulating ground motions coinciding with multi - damping - ratio - spectra in seismic design. the crossing rate and variance rate are important parameters of genetic algorithms which affect the rate of convergence, the adapting rate of cross and variation in this paper can auto - adapt and according to stand or fall of current sample, it assures the sample approach to the pareto optimal solution set in fast convergent speed

    較好地解決多阻尼比反應譜擬合問題；本文方法通過一次運行就能獲得一組具有集系特性的地震動，在擬合多阻尼比反應譜的人造地震波集系的模擬方面有傳統方法所不能比擬的優勢，產生的人造波或人造波集系可滿足工程抗震設計需要；在遺傳演算法中，交叉概率和變異概率是影響收斂速度的重要參數，本文採用的改進自適應交叉概率和變異概率，可以根據當前樣本的好壞程度來自動地選擇適當的交叉概率和變異概率，以保證演算法始終以較好的速度向pareto最優解集逼近。
  3. A new learning algorithm of the continue wavelet networks parameters is proposed, that is, hybrid parameters learning algorithm. the parameters of wavelet networks are divided into two parts, and different methods are used to training them. compare to the traditional parameters learning method, the new method proposed in this paper has the advantages of rapid convergence speed and high approximation capability

    提出了連續小波網路的混和參數訓練方法，將小波網路參數分為小波系數和網路權值兩部分，對這兩部分參數分別採用不同的方法進行訓練，這一新的訓練方法相對于傳統的小波網路參數訓練方法來說具有收斂速度快，逼近精度高等優點。
  4. A space navigator wishes to determine his velocity of approach as he nears the moon.

    一個宇宙飛行員希望確定出他接近月球時的逼近速度。
  5. The tsf method combines efficiently llsf and tri - cubic spline interpolation, learns from others " strong points to offset one ' s weaknesses, so has rapidity and high accuracy of computation and is suitable for contour surface drawing in real - time. 3

    該方法綜合多元樣條擬合法與局部加權最小二乘法，揚長避短，不僅保證了逼近精度，提高了計算速度，而且加密計算的結果可直接應用於等位面的實時顯示。
  6. ( 2 ) offset approximation for bezier curves the problem of parametric speed approximation of a curve is raised. the author points out that the crux of offset curve approximation lies in the approximation of parametric speed

    （ 2 ）等距曲線逼近（ offset ）提出了曲線參數速度逼近問題，指出等距曲線逼近問題的關鍵在於參數速度的逼近
  7. In chapter two, we consider full disceret scheme of mixed finite element methods for the following initial - value problems of linear integro - differential equations of parabolic in this chapter, we give the error analysis of this full discrete scheme and get optimal error estimates for the discrete solutions of u and p

    第二章討論下述線性拋物型積分微分方程初邊值問題混合有限元方法的后差全離散格式。給出了該全離散格式的誤差分析，得到了離散解逼近未知函數u以及伴隨速度p的關于空間和時間的最優階誤差估計。
  8. Finally, in the third section, by constructing some functional which similar to the conservation law of evolution equation and the technical estimates, we prove that in the inviscid limit the solution of generalized derivative ginzburg - landau equation ( ggl equation ) converges to the solution of derivative nonlinear schrodinger equation correspondently in one - dimension ; the existence of global smooth solution for a class of generalized derivative ginzburg - landau equation are proved in two - dimension, in some special case, we prove that the solution of ggl equation converges to the weak solution of derivative nonlinear schrodinger equation ; in general case, by using some integral identities of solution for generalized ginzburg - landau equations with inhomogeneous boundary condition and the estimates for the l ~ ( 2 ) norm on boundary of normal derivative and h ~ ( 1 ) ' norm of solution, we prove the existence of global weak solution of the inhomogeneous boundary value problem for generalized ginzburg - landau equations

    第三部分：在一維情形，我們考慮了一類帶導數項的ginzburg ? landau方程，通過構造一些類似於發展方程守恆律的泛函及巧妙的積分估計，證明了當粘性系數趨于零時， ginzburg ? landau方程的解逼近相應的帶導數項的schr （ ? ） dinger方程的解，並給出了最優收斂速度估計；在二維情形，我們證明了一類帶導數項的廣義ginzburg ? landau方程整體光滑解的存在性，以及在某種特殊情形下， gl方程的解趨近於相應的帶導數項的schr （ ? ） dinger方程的弱解；在一般情形下，我們討論了一類ginzburg ? landau方程的非齊次邊值問題，通過幾個積分恆等式，同時估計解的h ~ 1模及法向導數在邊界上的模，證明了整體弱解的存在性。
  9. Transformed the six - bar guide - bar mechanism realizing linear displacement in automatic instruments into a basic rotating guide - bar mechanism, established the mathematical model of velocity approaching constant by the classical approximate synthesis theory and the modern error theory, discussedthe influences of the existent region of main mechanismic parameters on kinematic and dynamic properties, analysed the theoretical transmission ratio error, advances systematic, complete steps and methods for dimensional synthesis of this mechanism with computer aided design

    將自動化儀表中實現線性輸出的六桿導桿機構轉化為基礎轉動導桿機構，應用經典的機構近似綜合理論與現代的誤差理論，建立了速度逼近常數的數學模型，討論了主要機構參數存在區域及對運動、動力性能的影響，分析了傳動比理論誤差，提出了系統完整的計算機輔助尺度綜合的步驟與方法。
  10. Neural network has the ability of approaching nonlinear function at random precision, so that correct non - linear errors of angular rate sensor on the basis of neural network method

    神經網路具有理論上以任意精度逼近非線性函數的能力，故本文採用基於神經網路方法來校正角速度傳感器的非線性誤差。
  11. Finally, take example for a non - linear function, method mentioned in this paper is used to design wavelet neural network to approximate this function. the computer simulations confirm the method that is brought out in this paper is useful, and prove that wavelet neural network has not only fast convergence and better precision of approximation, but also good capability of forecasting and escaping error

    最後，對於一個實際的非線性函數，用本文介紹的方法來設計小波神經網路來逼近函數，模擬結果表明該方法的有效性，並且表明小波神經網路在函數逼近上，網路的收斂速度快，逼近精度高的特點，並且網路具有很好的泛化能力和容錯性。
  12. 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。
  13. On the rate of convergence of functions and their derivatives by beta operators

    運算元的導數對一類函數的逼近速度
  14. In addition, the realization of whole neural network predictive control system and the control results are given

    給出了改進elman神經網路模型的逼近速度和精度，比較了兩種控制方法的控制效果。
  15. Secondly, analysed the approach model, described circular arc approximation method, approaching blade curved surface with this method and realized raise of the approach speed

    其次，分析了逼近模型，推導了單圓弧逼近方法，用這一方法來逼近葉片曲面，提高了逼近速度。
  16. The methodology adopted by most existing cam / cnc systems, which uses huge amount of linear segments to approach the original shape and make linear interposition increases the cost of memory size and communication work of the cnc system tremendously. a new approach based on cubic polynomial and b spline interposition to rebuild the cam generated tool path under real time condition is presented in the paper. applications on cnc machine tools showed that the presented approach improves the machining accuracy and increases the cutting speed significantly

    目前大多數cam / cnc系統採用大量小直線段逼近原始曲線和直線插補的做法，只能獲得零階連續的走刀軌跡，逼近精度低，不能保證高速加工運動的平穩性，因而加工精度、光潔度和加工速度都難以提高；由小直線段構成的nc代碼數據量龐大，也增加了數控系統在內存容量和數據傳輸方面的成本。
  17. In training of back - propagation neural network, parameter adaptable method which can automatically adjust learning rate and inertia factor is employed in order to avoiding systemic error immersed in a local minimum and accelerating the network ' s convergence ; introduced the further optimization of the network ' s structure, it gives the research result of selection of the hidden layers, neurons, and the strategy of re - learning, compared the sums of the deviation square of this algorithm with conventional bp algorithm, as a result, the approach accuracy and the generalization ability of the network were extremely improved

    在對前饋神經網路的訓練中，使用參數自適應方法實現了學習率、慣性因子的自我調節，以避免系統誤差陷入局部最小，加快網路的收斂速度；提出了優化bp網路結構的實驗研究方法，並給出了有關隱含層數和節點數選擇以及再學習策略引進的研究結果。將該演算法同傳統bp演算法的預測偏差平方和進行比較，結果證實網路的逼近精度及泛化能力均得到了極大的提高和改善。
  18. The paper makes simulation studies into the field oriented control systems based on multiplayer feedforward networks and dynamic recursive networks respectively, and compares the convergence speed and approximate extent between the two learning algorithms

    對採用多層前向網路和動態遞歸網路的矢量控制系統分別進行了模擬實驗，比較了兩種學習演算法收斂的快速性和逼近程度。
  19. Experimental results show that our local surface reconstruction and ray - tracing method is fast, with high approximation accuracy and high rendering quality, and is also adaptive to models with different sampling densities

    實驗結果表明，文中演算法速度快、逼近程度好、繪制質量高，能夠自適應不同采樣密度的模型。
  20. Nn, one of soft measurement modeling tools having the association & recollection self - learning better fault tolerance prompt response simulation of the high nonlinear system, has its advantage in modeling the nonlinear and time - varying flux of sluice gate. this thesis focuses on the soft measurement modeling based on nn, which solves the problem quite good

    神經網路方法是一種效果較好的軟測量建模方法，具有聯想記憶，自學習，高度容錯，快速處理，能逼近高度復雜的非線性系統的特點，適用於非線性、時變的涵閘水力流量過程建模。
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