最速降線問題 的英文怎麼說

中文拼音 [zuìsùjiàngxiànwèntí]
最速降線問題 英文
brachistochrone curve
  • 最 : 副詞（表示某種屬性超過所有同類的人或事物） most; best; worst; first; very; least; above all; -est
  • 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...
  • 降 : 降動詞1. （投降） surrender; capitulate 2. （降伏） subdue; vanquish; tame
  • 線 : 名詞1 （用絲、棉、金屬等製成的細長的東西） thread; string; wire 2 [數學] （一個點任意移動所構成的...
  • 問 : Ⅰ動詞1 （請人解答） ask; inquire 2 （詢問; 慰問） question; ask about [after]; inquire about [aft...
  • 題 : Ⅰ名詞1. （題目） subject; title; topic; problem 2. （姓氏） a surname Ⅱ動詞（寫上） inscribe; write
  • 問題 : 1 （需回答的題目） question; problem 2 （需研究解決的矛盾等） problem; matter 3 （事故或意外） tr...
  1. According to the system technology require, adopting singlechip realize open loop digital control of hdclsm ; using v / f conversion and complex key - control method realize digital setting of system parameter, such as velocity ; using micro - stepping control insure the motor running more smoothly ; adopting debasing speed control method to eliminate the mechanical impact of distance termination effectively ; at the same time, analyzing main power circuits drive circuit and protect circuit of system, completing hardware design and facture and software programming and debugging ; at last, making a whole test in hybrid rotary step motor. the experiment result indicates that this control system reaches the qualities required and run smoothly also

    根據系統技術要求，採用單片機實現了混合式直流直線步進電動機的開環數字控制；利用v f變換和復合鍵控方法實現了系統轉速等參數的數字設定；利用細分控制技術保證了電機運行的平穩性，並進行了波形分析和理論研究；採用單片機軟體降速控制策略解決直線步進電機行程末端的機械沖擊問題；同時對主功率電路、驅動電路和系統保護電路進行了分析，完成了硬體設計、製作和軟體編程、調試，最後在混合式旋轉步進電動機上進行了全面測試。
  2. The hybrid algorithm raises the convergence rate of the conjugate gradient method and solves the problem for which the convergence rate of the steepest descent method get slower when the isopleth of goal function is oblong

    這種混合優化演算法結合了共扼梯度法和最速下降法產生搜索方向，既提高了共扼梯度演算法的收斂速度，又解決了目標函數的等值線是扁長橢球時，最速下降法下降緩慢的問題，具有收斂速度快、收斂范圍大、適應面廣等特點。
  3. 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
  4. 3 a novel recursive least - square ( rls ) blind space - time receiver algorithm based on the constrained condition, which can completely avoid the matrix inversion introduced into by constraints ( comparing with the normal rls ), is proposed for multi - path slow fading cdma channels. the computational complexity of this method is not only lower than that of the normal rls, but also lower than that of both lms and ls blind space - time receiver methods that are realized based on the rosen ' s gradient projection. and the speed of convergence of the presented rls blind space - time receiver algorithm is better than that of both lms and ls blind space - time receiver methods

    3 、針對多徑慢衰落通道下ds - cdma盲空時接收機中線性約束二次規劃問題提出一種新的遞歸最小二乘演算法，該演算法完全避免因約束而引進的矩陣求逆運算（相對于常規的遞歸最小二乘演算法） ，不但運算量比常規的要低，而且比基於rosen梯度投影實現的最小均方（ lms ）與最小二乘盲空時接收機演算法還低，且收斂速度比基於rosen梯度投影實現的最小均方（ lms ）與最小二乘盲空時多用戶檢測都好，將提出的新的遞歸最小二乘演算法與提出的數據選擇方案結合起來可以進一步降低其運算量，具有很大的實用價值，最後通過模擬實驗進一步分析了其性能。
  5. Did bernoulli sleep before he found the curves of quickest descent

    伯努利在發現最速降曲線問題前睡過好覺嗎
  6. The millimeter has the largest frequency band and the highest velocity of communication, but it has the highest cost and technical defaults : multi - path effect, reflect and scatter caused by cloud, smoke, water - dropping, the buildings, the grounds and its shape, the interference caus ed by the thunder, the complexity of device, difficult maintenance, and so on. now the band of the leakage coaxial line is up to 3ghz, leakage coaxial line has some advantages : good adaptability to cloud, smoke, water - dropping, the buildings, the grounds and its shapes, good steady field, it has some technical defaults : lower resolution for location and measuring velocity, the more complex of its sending - receiving relay devices, weak anti - interference, the strict demand for the hole size in the line, the cleaner work environment and the higher cost

    毫米波具有最大的帶寬和最高的通信速率，但也有最高的成本要求和較難克服的技術問題，即傳播的多徑效應，降水、雲霧、地形、地貌、建築物等的反射散射，打雷時的嚴重干擾，設備復雜，維護困難等等；泄漏同軸電纜的帶寬目前已做到3ghz ，具有對地形地貌建築物的適應性強，場強穩定，但它的定位測速精度低，它的收發中繼設備較復雜，抗干擾能力低，電纜上的開槽有著嚴格的尺寸要求，工作環境要求清潔，成本較高；傳統無線感應技術具有結構簡單，成本低廉，維護方便，定位精度較高的優點，但是，它沒有抗干擾能力。
  7. Later on, after elaborating the disadvantages of the old methods in detecting and recognizing moving objects, a series of corresponding approaches are proposed, such as grid scan, local tracking bug and dynamic window in object tracing to reduce the huge data needed to be processed, maximum and minimum for selecting a proper segmentation threshold and improved conversion from rgb model to hsv and so on to decrease the influence of inhomogeneous lighting and the color noise, a bilinear interpolation in each quadrant to eliminate the bad effect on the recognition precise because of the distortions of the camera. after that, much emphasis is given on application study in pattern recognition with a feed - forward neural network. both the basic bp algorithm and improved bp algorithm in the study process are described in detail, and the later is used to quicken convergence speed and improve validity of the network

    然後，分析和闡明了傳統的運動目標檢測方法的不足，並在此基礎上結合研究中的實際實驗環境，提出了一系列解決方法，包括針對降低龐大數據量而提出的網格掃描、局部「跟蟲」追蹤和動態窗口掃描等目標檢測方法，針對實驗環境中光照不均和顏色干擾提出基於人機交互的最大最小值閾值選取方法和引入改進的rgb模型到hsv模型的轉換方法，為消除圖像畸變對識別精度的惡劣影響而採用的通過控制點進行雙線性插值進行畸變校正的方法；緊接著，概述了神經網路的發展歷史和幾種常用神經網路模型的特點，重點研究了前饋型神經網路在模式識別中的應用問題，詳細闡述了基本的bp演算法和學習過程中bp演算法的改進，從而使網路收斂速度更快，解決問題更有效，並在此基礎上，設計了一個基於bp神經網路的運動目標識別系統，給出了實驗結果。
  8. 2. on the base of detailedly analysing the fourier neural networks, we find this neural networks have the characteristic which can transform the nonlinear mapping into linear mapping. so, we improve the original learning algorithm based on nonlinear optimization and propose a novel learning algorithm based on linear optimization ( this dissertation adopts the least squares method ). the novel learning algorithm highly improve convergence speed and avoid local minima problem. because of adopting the least squares method, when the training output samples were affected by white noise, this algorithm have good denoising function

    在詳細分析已有的傅立葉神經網路的基礎上，發現傅立葉神經網路具有將非線性映射轉化成線性映射的特點，基於這個特點，對該神經網路原有的基於非線性優化的學習演算法進行了改進，提出了基於線性優化方法（本文採用最小二乘法）的學習演算法，大大提高了神經網路的收斂速度並避免了局部極小問題；由於採用了最小二乘方法，當用來訓練傅立葉神經網路的訓練輸出樣本受白噪聲影響時，本學習演算法具有良好的降低噪聲影響的功能。
  9. Second, for vector sequence coming from the steep - descent method, we use extrapolation method for the sequence and get some applied algorithms. we also give theoretical proofs for this algorithms. many numerical experiments tell us that the new algorithms sometimes can save 80 % computation

    其次，對求解非線性優化問題的最簡潔的最速下降方法產生的迭代序列，運用向量序列加速收斂手段進行了討論，導出了一些實用的加速演算法，並從理論上證明快速演算法的有效性，眾多數值試驗進一步表明：加速收斂的方法相比較加速前幾乎都能夠節約80以上的計算量。
分享友人
分享到 Line

分享到臉書