非法參數替代 的英文怎麼說
中文拼音 [fēifǎshēnshǔtìdài]
非法參數替代
英文
illegal parameter substitution- 非 : Ⅰ名詞1 (錯誤) mistake; wrong; errors 2 (指非洲) short for africa 3 (姓氏) a surname Ⅱ動詞1 ...
- 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...
- 參 : 參構詞成分。
- 數 : 數副詞(屢次) frequently; repeatedly
- 替 : Ⅰ動詞1 (代替) replace; substitute for; supply [take] the place of 2 [書面語] (衰敗) decline Ⅱ...
- 代 : Ⅰ動詞1 (代替) take the place of; be in place of 2 (代理) act on behalf of; acting Ⅱ名詞1 (歷...
- 非法 : illegal; unlawful; illicit
- 替代 : substitute for; supersede; replace; substitution; replacement
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The non - local turbulence parameterization, i. e., transilient theory was used in the host model mm4 to simulate the turbulent activities of the atmosphere
在中尺度區域模式mm4的基礎上對其中的湍流參數化方法作了改進,嘗試用非局地閉合方法代替局地In the computational methods of tpbvp, in order to reduce some difficulties involved in solving a tpbvp via adjoint variables, we discuss a direct method in which state and control variables are indirectly parameterized, the method employs a recently developed direct optimization technique that uses a piecewise polynomial representation for the state and control variables, thus converting the optimal control problem into a nonlinear programming problem, which can be solved numerically. it makes the initial iterative variable more easy to be determined
在數值解法中,為了減少解決兩點邊值問題共軛變量帶來的困難,主要討論了將狀態變量和控制變量進行參數化的一種直接方法,這種方法採用了近段發展起來的使用分段的多項式來代替狀態和控制變量的直接優化方法,然後最優控制問題就轉化成可以用數值方法解決的非線性規劃問題,使得迭代初值更加容易選取。It comes up with a new notion, d - solution, which is applied to the distance estimation, by virtue of hilbert space ; furthermore, the dissertation has gained a necessary condition which is identity of minimum mean - square value in linear function classes, so that d - solution extends minimum mean - square value within the domain of nonlinear function equation or equation system ; and, the dissertation studies in detail the classical moment estimation and maximal likelihood estimation on the parameters of ar ( p ), a series of theorems in the estimation section shows the moment estimators are consistent on the ground of large samples jikewise, those distribution functions of the estimated parameters accord to maximum likelihood estimation converge gauss distribution if the white noise is gaussan
首先,藉助hilbert空間理論,提出了距離估計的d -解,給出了d -解的必要條件,這個條件在線性函數類里即是極小二乘估計法, d -解的必要條件滿足的方程實質上將極小二乘估計法推廣到多函數及非線性函數類。再而,詳細地研究了多元弱平穩序列自回歸模型ar ( p )的參數經典的矩的替代估計和極大似然估計,獲得矩的替代估計的一致性的結果。對基於gauss白噪聲假設多元弱平穩序列自回歸模型的均值、白噪聲的協方差陣的極大似然估計都有依分佈收斂到多元正態分佈的統計性質。The algorithm ' s ideal is benint from the ideal of generalize projection technique and strongly subfeasible direction algorithm. it can be approximately describe as follows : firstly, by the introductin of a perturbed parameter / /, replace the complementarity constraints with a generalized function, then ( mpec ) can be reformulated equivalently nonlinear constraints programs. secondly. combine the ideal of strongly subfeasible direction algorithm and generalized projction tech - nique, we setup a generalized strongly subfeasible direction algorithm
本學位論文結合廣義投影技術和強次可行方向法思想,建立一個新演算法,該演算法的主要思想大致可描述如下:首先引入一個趨向於0的參數,用一個互補函數代替性質不好的互補約束,將問題等價的轉化為一般的非線性約束最優化問題,然後結合廣義投影技術和強次可行方向法思想,建立一個廣義強次可行方向演算法Secondly, a non - linear mapping function from multiple inputs ( design variables ) to output ( maximum dynamic stress ) is constructed within bp neural networks, in order to obtain the constraint function values that are necessary in optimum design of structures using genetic algorithms and get the optimum solutions. the generation ability of the bp network after training can be used to replace the calculation of fem, which makes the constrained optimization to be possible
其次,由於動應力的有限元法計算過程復雜,計算量巨大,在應用優化演算法時,需要反復計算,為了使優化過程可行,設計了bp神經網路,利用有限元計算的樣本數據建立起結構設計參數(輸入)與動應力(輸出)的非線性映射關系,從而代替有限元法,快速計算結構動應力。The exact solution to this problem turns out to be too complex for practical purposes as it involves a search over a multi - dimensional domain. however, making use of the alternating - projection technique, we replace the above search with a sequence of mono - dimensional searches
由於ml演算法需要在多維空間進行大量的非線性搜索,我們藉助于交替迭代投影( ap )演算法使似然估計從多維參數估計簡化成一系列一維參數估計,降低了計算量。分享友人