penalty factor 中文意思是什麼
penalty factor
解釋
懲罰因子-
Their results indicate that the psychological burden of a penalty shootout is the most important factor in whether or not a player scores ? more so than skill, fatigue or experience, which are so crucial in other areas of the game
他們的研究結果顯示，盡管在比賽的其他階段，技巧、疲勞程度或經驗是至關重要的，但是點球決勝時，決定進球與否最重要的因素卻是心理承受力。 -
Solving of variational inequality with alternate direction method including extensive variable penalty factor
用帶廣義可變罰因子的交替方向法求解變分不等式 -
First, a new value measure method for test node selecting is developed, and by adopting benefit factor and penalty constant, the impact of diagnosis profit and measure cost upon test node selecting is studied
該方法引入了收益因子及成本罰數，考慮了檢測點診斷收益及測量成本兩個因素對測點選擇的影響。 -
The purpose of the sqp - filter method is to overcome the numerical difficulty caused by the use of large penalty factor in the sqp method
其主要目的是為了克服求解約束最優化問題的序列二次規劃（ sqp ）演算法中罰參數太大而造成的數值計算上的困難。 -
Improved ga does n ' t depend on choice of penalty factor, competitive elitist model can provide more opportunity to be inherited to offspring for excellent genes, and individual feasibility improved with complex method can accelerate convergence
同時也說明了本文演算法對懲罰因子的選擇不敏感；競爭最優保留方法能夠給優良基因更大的機會遺傳給後代；復合形法改進個體的可行性能夠加速演算法的收斂。 -
( 2 ) the performance of support vector machine ( svm ) for classification was analyzed. it was found that svm for classification is more sensitive to noise than other methods, in particular, the kernel function, its parameter and penalty factor c are the main factor affecting the classification performance of svm
（ 2 ）支持向量機採用了結構風險最小化（ srm ）原則，用於模式分類已表現出優良的性能，但在觀測數據中存在復共線性時，其分類效果就有所降低。 -
Correlative component analysis ( cca ) was used to eliminate multicollinearity and noise of original sample data before classifying by svm. to improve the classification performance of svm and obtain the optimal discriminative function, the ega proposed in this work was used to optimize the parameters of svm including correlative components ( ccs ), penalty factor c, and kernel width factor
因此，為了充分利用支持向量機良好的分類能力，使之能處理存在復雜相關關系的觀測數據，給出了結合分類相關成分分析（ cca ）的支持向量機建立分類模型的方法（ cca - svm ） ，又利用本文第三章所提出的ega演算法優化分類相關成分數及支持向量機參數。 -
According to the characters of the model of the optimization of the vehicle main form design, the muti - objective problem is resolved by power - factor method, the constrains problem by penalty function technique
結合遺傳演算法，採用懲罰函數法對約束條件進行處理，設計了實數編碼的模擬退火懲罰函數法優化程序模塊。
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