遺矢 的英文怎麼說

中文拼音 [yíshǐ]
遺矢 英文
[書面語] empty one's bowels; defecate
  • 遺 : 遺動詞[書面語] （贈與） offer as a gift; make a present of sth : 遺之千金 present sb with a gener...
  • 矢 : Ⅰ名詞1. （箭） arrow 2. （尿） excrement; dung; feces 3. （姓氏） a surname Ⅱ動詞（發誓） vow; swear
  1. This algorithm easily escapes from local optimal solution, have high searching efficiency, simple structure, convenient use. aiming at iteration, optimization and matlab optimization toolbox having low precision and difficulty to choose initial vector on acquiring nonlinear equations ’ solutions, equations ’ solution problem is translated into genetic algorithm optimization problem. nonlinear equations ’ usual genetic

    針對迭代法、最優法、 matlab最優化工具箱求解非線性方程組中存在求解精度不高及初始矢量難選等問題，將方程組求解問題轉化為遺傳演算法函數優化問題，建立了非線性方程組通用的遺傳演算法解法，並將其用於汽車滑行試驗數據處理中。
  2. Because ga possesses the traits of can global random search, the robustness is strong, been use briefly and broadly, it didn ’ t use path search, and use probability search, didn ’ t care inherence rule of problem itself, can search the global optimum points effectively and rapidly in great vector space of complicated, many peak values, cannot differentiable. so it can offset the shortages of nn study algorithm, can reduce the possibility that the minimum value get into local greatly, the speed of convergence can improve, interpolation time shorten greatly, the quantity of training reduce

    因為遺傳演算法具有全局隨機搜索能力，魯棒性強、使用簡單和廣泛的特點，它不採用路徑搜索，而採用概率搜索，不用關心問題本身的內在規律，能夠在復雜的、多峰值的、不可微的大矢量空間中迅速有效地尋找到全局最優解，所以可以彌補神經網路學習演算法的不足，使陷入局部最小值的可能性大大減少，使得收斂速度提高，訓練量減小。
  3. Then, multi - objective genetic algorithm ( moga ) was used to search for the optimal parameters of the module and step width of motion

    在第三章中首先引入了移動機器人規劃環境的矢量場模型，然後利用變權重多目標遺傳演算法對規劃參數進行優化。
  4. Due to its character of microscopic scale motion, a very simple position kinematic equation is achieved. based on the equation obtained, the workspace of the serial - parallel micromanipulator is described, and the effect of different structural parameters on the workspace is also discussed. in order to evaluate the output errors caused by the structural errors and actuator errors, accuracy analysis is then conducted for this serial - parallel micromanipulator, and an approach based on software programming is presented for error compensation

    由於所研究的微操作機器人運動范圍很微小，機構結構誤差及驅動誤差都可能造成機器人的操作精度嚴重降低，為評價這些機構誤差對運動精度的影響，本論文以矢量法對該機器人機構進行了誤差分析，並討論了誤差補償的軟體法；此外，論文還進一步研究了遺傳演算法在並聯機器人機構學研究中的應用，為並聯機器人位置正解問題求解提出一種新思路。
  5. To compensate the shortage of the bigger test set of pure ant algorithm, the method of crossing ant algorithm and genetic algorithm is presented. meanwhile, the implementation methods of the objective function, selection operator, crossover operator, and mutation operator are given, and the test results are compared with the results of ant algorithm, based on standard sequential circuits iscas ' 89

    為彌補單純採用螞蟻演算法進行測試矢量生成時，測試矢量集過大的缺點，摘要提出了螞蟻演算法和遺傳演算法交叉的測試生成方法，給出了遺傳演算法的目標函數、選擇運算元、交叉運算元、變異運算元的實現方法。
  6. The main factors of probabilistic neural network including the hidden neuron size, hidden central vector and the smoothing parameter, to influence the pnn classification, are analyzed ; the xor problem is implemented by using pnn. a new supervised learning algorithm for the pnn is developed : the learning vector quantization is employed to group training samples and the genetic algorithms ( ga ’ s ) is used for training the network ’ s smoothing parameters and hidden central vector for determining hidden neurons. simulations results show that, the advantage of our method in the classification accuracy is over other unsupervised learning algorithms for pnn

    本文主要分析了pnn隱層神經元個數，隱中心矢量，平滑參數等要素對網路分類效果的影響，並用pnn實現了異或邏輯問題;提出了一種新的pnn有監督學習演算法:用學習矢量量化對各類訓練樣本進行聚類，對平滑參數和距離各類模式中心最近的聚類點構造區域，並採用遺傳演算法在構造的區域內訓練網路，實驗表明:該演算法在分類效果上優于其它pnn學習演算法
  7. Detection of motion vector of cardiac myocyte using adaptive genetic algorithm

    自適應遺傳演算法用於心肌細胞運動矢量檢測
  8. Due to the parallel global optimization characteristics of the genetic algorithm, the crossover using ant algorithm and genetic algorithm is adapted to generate the initialization vector of the sequential circuit, for avoiding the local optimization of ant algorithm

    此外，為避免螞蟻演算法陷於局部最優，利用遺傳演算法具有并行全局尋優特點，將遺傳演算法與螞蟻演算法的交叉演算法引入時序電路初始化矢量生成。
  9. Using the way of comparative analysis, this paper makes a comparative study of the scholars " view of different schools of international law, points out several conundrum left from the 20th century, predicts the trend of development of the international law in the 21st century and explains the trategy that china should take

    第三章、第四章通過比較分析的方法，對各國國際法學流派的觀點進行比較分析，指出了二十世紀國際法遺留下來的幾大難題，並預測國際法在二十一世紀的發展趨勢。第五章結合我國的實際情況，有的放矢地提出自己的觀點及我國應採取的對策。
  10. Vector equations is one of non - linearity equations, and we can solve it by inherit arithmetic or homotopy arithmetic

    矢量方程組屬于非線性方程組，可以採用遺傳演算法或同倫演算法進行求解。
  11. The precision and convergence of both rotor speed and flux estimation with ekf largely depend on the accuracy of the models of system noise and measurement noise. a global optimized noise covariance estimation method based on genetic algorithms ( ga ) is applied to ekf in foc system, a ga training simulation system of optimal parameters of ekf is given and the simulation results proves the effectiveness and robust of this algorithms

    本文用遺傳演算法（ ga ）對全閉環矢量控制系統中的ekf噪音模型進行離線優化辯識，模擬結果表明， ga尋優到的噪音模型使採用卡爾曼濾波器的無速度傳感器矢量控制系統獲得了與帶速度傳感器矢量控制系統相類似的動態性能，全系統對消息噪音和測量噪音有好的魯棒性。
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