optimal value 中文意思是什麼

optimal value 解釋
最佳值
  • optimal : adj. 最適宜的；最理想的；最好的 （opp. pessimal）。
  • value : n 1 價值；重要性；益處。2 估價，評價。3 價格，所值；交換力。4 （郵票的）面值。5 等值；值得花的代...
  1. The basic idea is to find iterative points which converge to optimal point and its corresponding objective function or merit function values converge to optimal value

    其基本思想是構造迭代點來逐步逼近最優點，相應的目標函數值或評價函數值逼近最優值。
  2. Using the dynamic mechanical analyzer ( dma ), pdms / pma ipn was investigated at temperature of 5 - 180 c. the initiator, the component ratio, the type of pdms and the filler effected the damping properties. the result showed that the damping ability varied with the parameter and there was an optimal value. the excellent damping material in the papers was ipn, where tan man was 0. 735, and the damping functional temperature ranged with tan 8 > 0. 3 was 46 c. the micro - morphology and structure of pdms / pma ipn were characterized by two kinds of sem

    高分子阻尼材料的有效阻尼功能區是在ipn材料的t _ g區間內，而研究常溫條件下的阻尼性能更具有重要應用價值，運用動態熱機械分析（ dma ）儀對ipn阻尼材料進行表徵，在5 180內對其損耗因子（ tan ）進行研究，發現引發劑和交聯劑的用量、聚硅氧烷的用量和分子量等參數對ipn阻尼性能的影響較大，存在一個合理配比值，當pma與粘度為3300pa ? s的pdms之比（質量比）為1 . 17 ： 1 、交聯劑用量為1時， tan最大值為0 . 735 ，大於0 . 3的溫域差達到46 。
  3. In the third chapter, we discussed the relationship between the optimal value and parameter of parametric linear programming ( l )

    第三章探討了參數規劃（ l ）的最優值與參數入之間的關系
  4. The parameter control methods are in the contrast, which is to find a sequence of parameters that converge to optimal value and its corresponding points in converge to optimal solution

    參數控制演算法的基本思想正好相反，它是構造參數序列來逼近最優值，相應的迭代點列逼近最優點。
  5. A branch and bound algorithm for solving a class of nonlinear 0 - 1 knapsack problems is proposed, in which branching is common 0 - 1 variables one and a better feasible solution is found by a simply integer heuristic method as well as a lower bound of the optimal value of the subproblem in the each branching node is determined by solving linear programming relaxed approximate problem to be obtained with linear relaxed technique

    摘要構造出了一類可分離非線性0 - 1背包問題的分枝定界演算法，分枝的過程是普通的0 - 1變量分枝，用簡單的取整啟發式法確定更好的可行解；而在每個分枝結點處用線性鬆弛技術確定了它的子問題的一個線性規劃鬆弛逼近，由此得到最優值的一個下界。
  6. Relationship between optimal value of interference fit and wood density in oval - tenon joint

    橢圓榫過盈配合量與木材密度的關系
  7. Iterative tfidf algorithm belongs to hill - climbing algorithm, it has the common problem of converging to local optimal value and sensitive to initial point

    迭代tfidf演算法屬于爬山演算法，初始值的選取對精度影響較大，演算法容易收斂到局部最優值。
  8. By the method in this paper, we can find the optimal value of practical problem

    此外，論文提出了幾種相應的agc輔助服務市場結算方法，並進行了討論。
  9. Application on a program based on the language b6. 0, the optimal program of seal ' s structural parameters is designed, according to the results running, the most optimal value of seal ' s structural parameters is got

    對螺旋密封結構參數進行了優化設計，並應用vb6 . 0語言進行編程，得出了密封的螺旋結構參數的優化值。
  10. Reinforcement learning algorithms that use cerebellar model articulation controller ( cmac ) are studied to estimate the optimal value function of markov decision processes ( mdps ) with continuous states and discrete actions. the state discretization for mdps using sarsa - learning algorithms based on cmac networks and direct gradient rules is analyzed. two new coding methods for cmac neural networks are proposed so that the learning efficiency of cmac - based direct gradient learning algorithms can be improved

    在求解離散行為空間markov決策過程（ mdp ）最優策略的增強學習演算法研究方面，研究了小腦模型關節控制器（ cmac ）在mdp行為值函數逼近中的應用，分析了基於cmac的直接梯度演算法對mdp狀態空間離散化的特點，研究了兩種改進的cmac編碼結構，即：非鄰接重疊編碼和變尺度編碼，以提高直接梯度學習演算法的收斂速度和泛化性能。
  11. 4 the optimal insurance based on game theory study the above aggregate model of life insurance by applying the game theories. the insurance process is characterized by the game of two - person zero - sum for the first time : the existence of the optimal value of premium in the model and how to obtain the optimal value are analyzed in detail based on the game theories

    4基於對策理論的最優保險將對策理論應用於保險實踐中，投保過程可以由二人零和對策來描述，應用二人零和對策理論討論模型中保險費的最優值存在性及如何得到保險費的最優解。
  12. 6. based on the physical model of the solution space, analyze the relationship between the workspace and the parameters of the manipulator, the optimal value of the parameters is obtained

    利用機構的空間模型，分析了機構工作空間的大小與其結構參數的關系，得到了為獲得最大工作空間r _ 1 、 r _ 2 、 r _ 3 、 r _ 4的最佳取值。
  13. In this method, we get the optimal value of semidefinite programming by finding the optimal descent direction of its dual problem

    該方法根據次微分理論與半定規劃的強對偶定理，通過求解對偶問題得到原始問題的最優值。
  14. The equation of state and optimal value function used to achieve the optimal strategy is figured out through the analysis of conditional probability of the process

    通過條件概率分析，計算出了動態規劃狀態轉移方程和最優期望代價方程，並得到了關聯規則發現的決策策略。
  15. Anyhow, the system can fix open quotation price with optimal value

    總之，系統會以最優價格確定開盤價。
  16. An analysis on the affection of pre - tightened radial force and its optimal value was carried out

    對徑向預緊力的作用和最佳數值進行了分析。
  17. Our results show that the optimal value with a parameter is a monotone decreasing sectionally continuous linear function g about parameter a, and the membership function of fuzzy objective sets are a linear function, written as c

    經過研究發現，其最優值是隨著參數減少而逐漸減少的分段連續的線性函數g 。另外，模糊目標集的隸屬函數也是一個線性函數，記為c 。
  18. Secondly, a series of merit functions is established, and a sequence of parameters which converges to optimal value from arbitrary real number is found

    再是構造了一系列評價函數，找到了從任意初始值直接收斂到最優值的參數序列。
  19. By analyzing expression between a and fuzzy entropy from the view of analytics, this paper analyses the relationship of between a and fuzzy entropy and the changing trend of fuzzy entropy function with the increase of a, then discusses the sensitivity of the parameter a to classification result such as total nodes, rule number, classification accuracy of fuzzy decision tree, proposes an experimental method of obtaining optimal a, it is proved by experiment that the optimal value a obtained by this method can make the classification result of fuzzy decision tree best, and therefore provides the academic evidence of selecting parameter a in order to gain the best classification result

    本文在visualc + +軟體開發平臺及模糊id3演算法的基礎上，從解析的角度出發，通過分析參數與模糊熵之間的函數關系式，討論了隨著的增加，模糊熵函數的變化趨勢，進一步分析了參數對模糊決策樹的分類結果在訓練準確率、測試準確率、規則數等方面所表現出的敏感性，探討了得到最優參數的實驗方法。實驗證明，利用這一方法得到的最優參數的值，可以使模糊決策樹的分類結果達到最好的效果，從而為人們用模糊決策樹進行分類時選取參數以獲得最優的分類結果，提供了良好的理論依據。
  20. Newton - pcg algorithm is very efficient for solving the unconstrained optimization problems. we considered an integer one - dimensional optimization problem appeared in newton - pcg method. the efficiency of newton - pcg algorithm is depended on the optimal value of this problem

    Newton - pcg演算法是解決無約束問題的有效方法，在該演算法中需要求解一個一維整數最優化問題，並且演算法的效率也依賴於它的最優值。
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