最優值函數 的英文怎麼說

中文拼音 [zuìyōuzhíhánshǔ]
最優值函數 英文
optimal value function
  • 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
  • 函 : 名詞1. [書面語] （匣; 封套） case; envelope 2. （信件） letter 3. （姓氏） a surname
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 最優 : optimal; optimum最優策略 optimal policy; optimal strategy; 最優設計 optimum design; 最優值 optima...
  • 函數 : [數學] function函數計算機 function computer; 函數計算器 function calculator; 函數運算 functional operation
  1. Based on the above, a surrogate models are built for thermal conductibility performance of sandwich panel with " v - type " folded core in this paper, and they can be optimized by multi - subject. the numerical simulation function and optimization design method in condition of lightest weight are shown in this paper

    其次，用isight軟體重新設計了40組不同構型的試驗設計點，並以此為基礎對v型褶皺芯材夾層板的熱傳導性能構建了可用的代理模型，給出了數值模擬函數和最輕重量條件下的優化設計方法。
  2. 2. an optimal design that is good for individual function can be realized through adjusting the adding authority gene to have the dispart objective functions given up to each other if certain targets are to be improved during optimization calculating

    2 、在優化計算時，要想使某項指標提高，可以通過調整加權因子來實現，使各分目標相互作出一些讓步，以取得一個對于各分目標函數值都比較好的最優方案。
  3. 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。
  4. In view of the fact that the genetic algorithm of stochastic programming based on random simulated technology has succeed greatly, this paper points out that changing parameters of genetic algorithm can obtain a sequence of optimum values of goal function. taking these genetic algorithm values as sampling data, we can get fitting optimum function by using multivariate spline regression and get the lipschitzs constant of the fitting optimum function. so for any chance constrained programming problem, we can get its interval estimate

    鑒于基於隨機模擬技術的遺傳演算法在求解隨機規劃問題上的優越性，本文指出，改變遺傳演算法的參數條件，在此基礎上求得機會約束規劃的若干個最優值，以這些最優值為樣本點，利用多元樣條回歸，擬合得到最優值函數，進而求出最優值函數的lipschitzs常數，從而對于任一機會約束規劃問題，都可以得到它的一個區間估計。
  5. 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。
  6. The smaller the value of the merit function is, the closer the iteration point is to the solution

    當價值函數的值越小時，迭代點越靠近最優解。
  7. So it is an important research in the field of the electronic technology to reduce the loss caused by the switching device and to improve the efficiency of high frequency power converters. this paper primarily focuses on the optimization of the mosfet parasitic capacitance so as to reduce the switching loss and improve the efficiency of power transforming in converters using mosfet as switch

    通過分析mosfet器件的開關特性，根據輸出電容c _ （ oss ）給器件引進的動態損耗來確定優化器件輸出電容西安理工大學碩士學位論文l變化曲線的目標函數，運用可行方向法求解帶約束條件的最優值，確定出優化的輸出電容人變化曲線。
  8. This algorithm is better than pca - based face recognition algorithm. ( 3 ) improved lda algorithm based on pairwise weighted fisher criteria the application of fisher function can have the best performance in classification relative to fisher criterion

    （ 3 ） 、基於逐對加權fisher準則的改進lda演算法應用fisher準則可以得到「盡可能好的」分類結果，對應于準則函數取最優值。
  9. 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 。
  10. We give the analysis of the fundamental maximum function, by twice integrating a core function and find four type smoothing approximations for it through convolution. we continue to find the smoothing approximations of general maximum function. at last we propose the parametric smoothing approximations of the original problem

    先選擇適當的核函數，再利用卷積理論得到可以替代最簡單的最大值函數的光滑函數；再進一步找到替代一般的最大值函數的光滑函數，最後解決本文要解決的非光滑優化問題。
  11. The time - frequency of the wavelet transform and the signal wavelet decomposition - reconstruction algorithm based on the multi - resolution analysis are analyzed. the signal local singularity under the wavelet transform are studied. the difference between between mallat ' s maximun modulus algorithm and donoho ' s waveshrink algorithm are analyzed, too. the denoise effect of different threshold and threshold function are studied. base on compare the advantage and disadvantage of donoho & johnstone threshold and believing - region threshold, a modified algorithm is developed : combining threshold distinguishing and shield filter method

    討論了基於mallat理論最大模數方法以及基於donoho理論的閾值萎縮去噪方法的差別，研究比較了不同閾值規則與閾值函數對去噪效果的影響；在此基礎上，結合統一閾值和置信區間閾值各自的優缺點，提出閾值判別和屏蔽濾波相結合的方法。
  12. Based on the optimality conditions and complementarity conditions for socp, a new merit function is defined in the algorithm

    基於二次錐規劃的最優性條件和互補條件，定義了一個新的價值函數。
  13. 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。
  14. Another is getting the approximate optimum value and optimum solution of chance - constrained programming through some certain genetic algorithm based on random simulated technology. this paper summarizes two methods of chance constrained programming

    另一種途徑是逼近方法，利用隨機模擬技術，通過一定的遺傳演算法程序，最後得到機會約束規劃問題的近似的目標函數最優值和最優解。
  15. For more general chance constrained programming, we have obtained its estimated interval and have discussed the factors that affect the precision of estimated optimum value and pointed out the method that raises estimated precision

    對更一般的機會約束規劃問題，在前人工作的基礎上，得到了目標函數最優解的區間估計和最優值的估計區域，討論了影響該估計的精度的要素，並指出提高估計精度的方法。
  16. The problem has been studied from two sides, firstly, from the viewpoint of applicability, based on the development strategic objectives of the oil company, with the aim to unify the exploration and extraction decisions of the resources in an integrated framework, and integrate the macro economic and technical objectives with micro economic and technical models of an oil well, an integrated non - linear dynamic optimal control model has been constructed, the objective is the benefit maximum of the exploration and extraction of the resources, and the optimal strategies are obtained by changing the problem into a non - linear mathematical programming problem, on the other hand, from the more macro level, based on the analysis of the characteristics of the exploration and extraction activities of oil and gas resources, a conclusion is easily deduced that the procedure is full of randomicity, then discovering procedure of oil deposit is proved to be a poisson process, and the reserves process is a supermartingale process, so the model of exploration discovery rate and the reserves model could be constructed

    本文從兩個側面對此問題進行了研究，首先從實用性出發，以公司層次的戰略性規劃目標為基礎，將勘探階段與開發階段的工程技術及經濟方面的決策整合在一個模型框架內，同時將宏觀層次的經濟技術目標與單個油氣井生產的微觀技術經濟模型相結合，以油氣資源勘探與開發的經營效益最大化為目標，建立了一個非線性確定型綜合動態優化模型，通過將原非線性最優控制問題轉化為一非線性數學規劃問題進行了求解。其次從相對更宏觀的層次上，通過對油氣資源勘探與開發的特點分析，認為具有很強的隨機性，證明了勘探活動發現油氣藏的過程為一泊松過程，所發現的油氣藏儲量為一上鞅過程，在此基礎上，建立了油氣藏勘探發現率模型及儲量模型，在油氣價格服從幾何布朗運動條件下，以油氣開採收益最大化為目標，建立了一個油氣資源勘探與開發的隨機最優控制模型，採用動態規劃方法得到了值函數的hjb方程，並針對方程的特點，以及方程及其變量所對應的經濟學意義，對最優策略的求解進行了一些討論。
  17. The training object of the algorithm is minimization of the cost function in optimal control, variations of the weight values are obtained by the steepest descend gradient method and moreover an approximate treatment is made on the sensitivity matrix evaluation

    本方法以瞬間最優控制價值函數最小化為訓練目標，考慮了地震輸入的能量，利用最速下降梯度法計算權值的改變量，並對敏感度矩陣進行近似處理，可解決神經網路控制中神經網路控制器難以獲得的訓練輸入輸出樣本對的難題。
  18. The nonlinear programming problem that the constraint perturbation attains minimum under the condition when the objective function makes its optimal perturbation is considered

    摘要考慮當目標函數在約束條件下的最優值作擾動時，使各約束作極小擾動的非線性規劃問題。
  19. 5 utility and optimal game of insurance apply the utility theory to insurance in order to confirm the optimal insurance premium for the insured

    5效用與保險最優決策從投保人的角度考慮，應用效用函數討論使投保人效用達到最優值的方案和方法。
  20. The continuity of the value function and the hjb equation that the value function satisies are discussed

    討論約束條件的描述，最優投資問題值函數的連續性，以及值函數所滿足的hjb方程。
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