鬆弛演算法英文怎麼說
鬆弛演算法 的英文翻譯
鬆弛演算法 英文 relaxation algorithm 弛 : 動詞1. [書面語] （松開; 鬆懈） relax; loosen; slacken 2. （解除; 免除） fall off; fall out of use 演 : 動詞1 （演變; 演化） develop; evolve 2 （發揮） deduce; elaborate 3 （依照程式練習或計算） drill;... 算 : Ⅰ動詞1 （計算數目） calculate; reckon; compute; figure 2 （計算進去） include; count 3 （謀劃;計... 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標... 鬆弛 : 1. （松; 不緊張） limp; flabby; slack; loose 2. （執行得不嚴格） lax
鬆弛演算法 例句
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Based on the representation of interval rational bezier curves and surfaces and by a serial of mathematical transformation, the degree reductions of them are converted to those of polynomials with upper bounds, then several algorithms are presented, with linear programming and optimal approximation methods. by relaxation of some constrained conditions, approximation effects of some of them are further improved根據區間有理bezier曲線、曲面的特點，通過一系列數學變換，將其降階問題轉化為多項式的保上界降階逼近，再應用線性規劃和最優逼近方 法 求解，給出幾種逼近 演 算 法 ，並探討通過約束不等式的 鬆 弛 ，進一步改進逼近效果。
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And it is obvious that pseudo - relaxation is a kind of local optimization method, so it cannot guarantee to get the global optimal solution. in this paper, a novel learning algorithm eprbam evolutionary psendo - relaxation learning algorithm for bidirectional association memory employing genetic algorithm and pseudo - relaxation method is proposed to get feasible solution of bam weight matrix即使在和取定后，準 鬆弛演算法 的訓練和學習仍是一種局部最優化過程，它只是在初始權矩陣的附近找到第一個可行解就結束訓練，這類 演 算 法 並不能保證獲得全局最優解。
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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。
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Self - adaptive lagrange relaxation algorithm for aggregated multicast multicast has great advantages in data forwarding解決聚合組播的自適應拉格朗日 鬆弛演算法
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Perceptron, relaxation, mse and ho - kashyap ( hk ) algorithm. hk is not robust to outliers. the modified hk with square approximation of the misclassification errors ( mhks ) tries to avoid this shortcoming and adopts similar principle to the support vector machine to maximize the separation margin線性分類器因其簡單、易於分析和實現且容易推廣為非線性分類器的優點而成為模式分類最常用的分類器，並產生了感知器（ perceptron ） 、 鬆弛演算法 （ relaxation ） 、最小平方誤差（ minimumsquareerror ， mse ）和ho - kashyap （ h - k ） 演 算 法 等經典 演 算 法 。
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