隨機逼近法 的英文怎麼說
中文拼音 [suíjībījìnfǎ]
隨機逼近法
英文
stochastic approximation method- 隨 : Ⅰ動詞1 (跟; 跟隨) follow 2 (順從) comply with; adapt to 3 (任憑; 由著) let (sb do as he li...
- 機 : machineengine
- 逼 : Ⅰ動詞1 (逼迫; 給人以威脅) compel; force; drive; threaten 2 (強迫索取) extort; exert pressure ...
- 近 : Ⅰ形容詞1 (空間或時間距離短) near; close 2 (接近) approaching; approximately; close to 3 (親...
- 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...
- 隨機 : random stochasticrandom
- 逼近 : 1 (靠近 接近) press on towards; gain on [upon]; approach; crowd on; close in on; draw near 2 [...
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Cascaded low - density erasure codes are based on sparse random bipartite graphs. very efficient linear time encoding and erasure recover algorithms with the arbitrarily near erasure channel capacity performance of the codes with respect to the algorithms have made them one of the most optimal coding techniques up to now
基於稀疏隨機二部圖的級聯型低密度糾刪碼因其線性時間的編譯碼演算法和可任意逼近刪除通道容量限而成為目前最佳編碼技術之一。In rsdm, binary patterns are replaced by real - valued patterns, accordingly avoiding the coding process ; the outer learning rule is replaced by regression rule, therefore the model has not only the ability of pattern recognition but the ability of function approximation. the prearrangement of the address array bases on the distribution of patterns. if the distribution of patterns is uniform. then the address array is prearranged randomly, otherwise predisposed with the theory of genetic algorithm and the pruneing measure so as to indicate the distribution of patterns and improve the network performance. non - linear function approximation, time - series prediction and handwritten numeral recognition show that the modified model is effective and feasible
在rsdm中,以實值模式代替二值模式,避免了實值到二值的編碼過程:以回歸學習規則代替外積法,使該模型在具有識別能力的同時具有了對函數的逼近能力;地址矩陣的預置根據樣本的分佈採取不同方法,若樣本均勻分佈,則隨機預置,否則利用遺傳演算法的原理和消減措施來預置地址矩陣,使之反映樣本的分佈,改善網路的性能。Although the rfc of mts systems corporation is a general methods to process road simulation test all over the world, it contains two disadvantages as follows : 1. before the fatigue test, it will take a long period to carry through the off - line iteration to acquire a series control values
雖然美國mts系統公司的rpc方法是目前國際上進行道路模擬試驗普遍採用的方法,但它存在如下問題: 1系統進入正式的試驗之前,要用較長的時間進行離線迭代運算獲得控制量序列,逐步逼近給定的隨機波形。To ensure all segments under construction to approach corresponding construction segmental reasonable states in both configuration and mechanics states and good behavior of structure after completion, escaping from all kinds of accidents in whole process of construction with high efficiency, safety, excellent quality of engineering achieved, the grey prediction model ngm ( 1, 1 ) was proposed to fit prediction of any raw grey series by studying grey causes and whitening results based on the normalized mapping rules ; random perturbation method of genetic algorithms was proposed to raise efficiency of forward rolling optimization ; simultaneous analysis of strength and stability was carried out to ensure safety of strength and stability
摘要為了保證實際施工中結構各節段在構形和受力狀態兩方面逼近施工節段合理狀態,避免事故發生,確保工程高效、安全、優質,基於歸一化映射規則,研究灰因和白果,提出了適應任意灰序列的灰預測模型ngm ( 1 , 1 ) ;研究遺傳演算法的隨機攝動法,提高向前滾動優化效率;研究強度、穩定性的同步分析技術,保證施工過程強度、穩定性安全。After introducing the unified model structure and applying stochastic approximation principle, the general recursive identification algorithm of several on - line identification methods is developped
在引進統一的模型結構以後,利用隨機逼近原理,提出了各種在線識別演算法的一般遞推形式。The recursive modification algorithm is mainly based on the ideal of stochastic approximation and truncation technique to obtain modification strategy for estimated parameters, it is proved that these modification parameters turn out to be a constant vector
其中迭代的參數修正策略主要是基於隨機逼近思想和截尾技術給出了修正向量的構造演算法。On the base of comparation of several methods, the viewpoints of the author are presented in the paper. in the fifth chapter, a general stochastic optimization method ? tochastic approaching methods, is studied. comparing to the above - mentioned stochastic methods, this method is more convenient to be applied in practice and the better optimization result is expected
最後,本文首次將隨機逼近法引入滲透系數隨機反演的研究領域,建立了隨機逼近反演滲透系數的計算公式和計算步驟,並將該法與gauss - markov法、 bayes法和廣義bayes法進行了對比,提出了自己的觀點。( 3 ) the effects of the random noise on the measured results, which are based on brightness temperature approach method and continuous measurement method, are evaluated. the experiment results demonstrate that the effect on brightness temperature approach method is uncertain and continuous measurement method can bear certain random noise
在某一溫度點下的各通道理論測量值加入一定的隨機噪聲,試驗結果表明:亮溫逼近法受隨機噪聲的影響是不確定的,而連續測量法可以承受一定的隨機噪聲影響。In the second part, we try to apply orthogonal polynomial approximations to the dynamical response problem of the duffing equation with random parameters under harmonic excitations. we first reduce the random duffing system into its non - linear deterministic equivalent one. then, using numerical method, we study the elementary non - linear phenomena in the system, such as saddle - node bifurcation, symmetry break bifurcation, phenomena in the system, such as saddle - node bifurcation, symmetry break bifurcation, period - doubling bifurcation and chaos
本文第二部分嘗試將正交多項式逼近方法應用於隨機duffing系統,提出與之等價的確定性非線性系統的新概念,並用數值方法對該系統在諧和激勵下的鞍結分叉、對稱破裂分叉、倍周期分叉、和混沌等各種基本非線性響應進行了初步探討。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。Then the model is simplified, the theory of martingale, simulation, and diffusion approximations are discussed firstly. these methods are applied in the model. then get some useful results, so we can estimate the upper bound for the ruin probability and the approximation of the finite time ruin probability
並詳細的討論了模型有限時間內破產概率和最終破產概率的估計,應用隨機過程序列弱收斂,鞅以及隨機模擬等理論,得出一些有意義的結果? ?在有限時間內破產概率的逼近表達式;最終破產概率的上界和有限時間內破產概率上界;有限時間內破產概率的隨機模擬演算法;並得到最終破產概率滿足的泛函方程。The attack process is segmented into three necessary phases and an improved tool called rapidly - exploring random tree is used for trajectory planning at the last approaching phase by using the concept of state - time space
將攻擊過程劃分為三個必要的階段進行分析,並針對最後關鍵的逼近階段提出了改進的快速擴展隨機樹演算法,通過在原演算法的基礎上融人狀態一時間空間的思想,使改進后的演算法能夠有效地處理動態環境中的軌跡規劃問題。It is said that the stochastic perturbation method basically could not fulfil the requirement of dynamical random response problems. however, so far in the dissipative systems, this is not the case. thirdly, the unified approach is combined with the orthogonal polynomial approximation
3 )將統一解法,與正交多項式逼近方法結合起來,指出文獻中流傳的採用正態pdf來描述隨機結構參數的缺陷,並先後提出了拱形概率密度與更具有一般性的? pdf模型,並分別與chebyshev多項式逼近、 gegenbauer多項式逼近相配合,構成了一套具有廣泛適應性的解法。分享友人