orthogonal variables 中文意思是什麼

orthogonal variables 解釋
正交變數
  • orthogonal : adj. 1. 直角的,互相垂直的;正交的;直交的。2. (統計數字)互不相關的。
  • variables : 變量
  1. Orthogonal experimental design method was compared with genetic algorithm for hunting out optimum values, and an optimum method of orthogonal - genetic algorithm testing method that was applicable in greater design variables and unmanageable fit function was presented, and was applied to optimal design of the mechanism and to obtain the optimum scheme of the mechanism ' s geometrical dimensions

    對正交試驗設計法和遺傳演算法的尋優演算法進行分析比較,提出一種設計變量多且適應度函數難求的正交遺傳試驗法的優化方法,將這種方法應用於機構的優化設計中,獲得優化工作空間性能的結構參數方案。
  2. Are uncertain and should be regarded as random variables, therefore the reinforced concrete frame is stochastic structure inherently, and then its motive equations converted to combined random differential equations for the uncertain parameters and external random excitation. these equations were solved by order - orthogonal expansion method with pseudo - excitation method, and then the statistic stochastic responses of random structure were obtained. at last, based on the stochastic cumulative damage model with double parameters developed by park, formulas were formulated for calculating structural earthquake damage probability using the structural reliability theory ( mainly jc algorithm ) in extensive random space

    首先對受地震激勵的剪切型鋼筋混凝土結構進行建模,用隨機等效線性化方法將二階非線性微分方程組化成一階線性微分方程組(或稱之為狀態方程) ;再考慮材料等參數的隨機性,則狀態方程成為復合隨機微分方程組,將擴階系統方法和虛擬激勵方法推廣並應用於這個復合隨機微分方程組,求出結構的隨機響應量的統計參數;最後採用隨機累積損傷破壞準則,在廣義隨機空間內,用jc演算法求解失效概率,進而求出結構的抗震可靠度。
  3. The invariant factors of orthogonal polynomial for two variables and numerical integration formulas

    二元直交多項式的不變因子與數值積分公式
  4. We have the following results. part i the computations of the bergman kernel functions the bergman kernel function plays an important role in several complex variables. s. bergman introduced the concept of bergman kernel function in 1921 when he studied the orthogonal expansion on d in c and he generalized it to the case in several complex variables in 1933

    Bergman核函數的顯式表達bergman核函數在(單、多)復變函數理論的發展過程中起著十分重要的作用, bergman在1921年研究復平面中區域d上的正交展開,其研究結果導出了一個核函數k _ d ( z , ) , ( z , t ) d d 。
  5. A general approach toward robust optimal design is proposed which is based on tolerance model and orthogonal experimental method, this method can deal with implicit and high non - linear functions and great variances in design variables

    摘要結合容差模型和正交實驗法的各自特點,提出了一種較為實用的穩健優化方法,該方法可以處理設計函數為隱函數或高度非線性函數,設計變量的容差可容許大些。
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