概率逼近 的英文怎麼說

中文拼音 [gàilǜbījìn]
概率逼近 英文
probabilistic approach
  • 概 : Ⅰ名詞1 （大略） general outline 2 （神氣） manner of carrying and conducting oneself; deportment ...
  • 率 : 率名詞（比值） rate; ratio; proportion
  • 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...
  • 概率 : [數學] probability; chance概率論 probability theory; theory of chances; 概率曲線 probability curv...
  • 逼近 : 1 （靠近 接近） press on towards; gain on [upon]; approach; crowd on; close in on; draw near 2 [...
  1. The method proposed in this thesis do well in solving the problems of multi - damping - ratio - spectra simulation. it is convenient to obtain the pareto optimal solution set of the multi - object question by using implicit parallel genetic algorithms and the method can meet the practical needs for simulating ground motions coinciding with multi - damping - ratio - spectra in seismic design. the crossing rate and variance rate are important parameters of genetic algorithms which affect the rate of convergence, the adapting rate of cross and variation in this paper can auto - adapt and according to stand or fall of current sample, it assures the sample approach to the pareto optimal solution set in fast convergent speed

    較好地解決多阻尼比反應譜擬合問題；本文方法通過一次運行就能獲得一組具有集系特性的地震動，在擬合多阻尼比反應譜的人造地震波集系的模擬方面有傳統方法所不能比擬的優勢，產生的人造波或人造波集系可滿足工程抗震設計需要；在遺傳演算法中，交叉概率和變異概率是影響收斂速度的重要參數，本文採用的改進自適應交叉概率和變異概率，可以根據當前樣本的好壞程度來自動地選擇適當的交叉概率和變異概率，以保證演算法始終以較好的速度向pareto最優解集逼近。
  2. In the following part, we define a couple of new approximate operators and a couple of corresponding new approximate measure operators, in this way, inner measure belief function and lower probability all can be considered as the particular cases of this lower approximate measure

    通過定義一對新的逼近運算元以及相應的一對逼近測度，使內測度、信任函數、隨機集上的下概率均可表示為此下逼近測度結構下的一種特例。
  3. The first hypothesis is true according to the pd of 1 - year and pds of each quarterly in one year before special treatment and the second hypothesis also is true in three quarterlies before a corporation is specially treated. default probability of a specially treated corporation is high and tends to increase as time near the exposure date. 2. kmv model has a capacity of discriminating the bad borrowers from good borrowers. 3. volatility of market value of asset is determinant of default probability

    本文得出的主要結論有: （一）假設一在特別處理前一年及各個季度內成立，假設二在特別處理前三個季度內成立，我國資本市場中的特別處理公司具有較高的違約概率且隨著時間向特別處理實施日期逼近違約概率增加; （二） kmv模型具有較強的對違約債務人的識別力; （三）影響違約概率的主要因素是公司資產價值波動率。
  4. The artificial neural net ( ann ) way is universal regard as one of the most effective ways of stlf. in this paper, some research is developed for stlf using ann ways in several parts : the first part is about the arithmetic of ann based on bp model, namely the advanced of traditional bp arithmetic, one alterable step and scale bp arithmetic based on comparability of model and probability of accepting bp arithmetic is used to enhances a lot the convergence rate of learning process of bp network, but also avoid the stagnation problem to some extent. it indicates that the ann ' s efficiency and precision by the way can be ameliorated by the simulation of real data

    神經網路方法在短期預測中已經被公認為較有效的方法，本文針對神經網路用於電力系統短期負荷預測的幾個方面展開研究工作：第一部分研究一般用於負荷預測的神經網路bp模型的演算法，即對傳統的bp演算法的改進，將一種基於模式逼近度和接受概率的變步長快速bp演算法應用到短期負荷預測，模擬結果表明該方法有效的改善了bp演算法收斂速度慢以及容易陷入局部最小點的缺點，從而提高了神經網路用於負荷預測的效率和精度。
  5. This paper consists of three chapters. the first one is the preparatory knowledge underlying this paper, including the basic concepts of the piece - wise deterministic markov processes ( pdmp ), the renewal equation, the key renewal theorem and some results about the classical risk model, which come from [ 2 ], [ 8 ] and [ 9 ]. the second one introduces the results about the general ruin probability in a kind of continuous - time risk model with the deficit - time geometric distribution of inter - occurrence times, in which claim sizes are discretly distributed. these come from [ 6 ]. the main body of this paper is the third one where we derive lundberg bounds, cramer - lundberg approximations to the ruin probability and finite - horizon lundberg inequalities

    本文共三章，第一章是奠定本論文基礎的相關知識，包括逐段決定馬爾可夫過程的一些基本概念、更新方程與關鍵更新定理的內容以及經典風險模型的介紹，主要取自[ 2 ] 、 [ 8 ]和[ 9 ] 。第二章介紹了該風險模型在索賠額分佈為一般分佈下的破產概率的一般表達式及相關定理，內容來自[ 6 ] 。第三章是本文的主體，求得了該模型的破產概率的lundberg界， cram r - lundberg逼近以及有限時間破產概率的lundberg不等式。
  6. Probabilistic approximations for c - semigroup and integrated semigroups

    半群與積分半群的概率型逼近問題
  7. In this paper, we use the idea of the classical risk model and consider a continuous - time risk model with inter - occurrence times following the deficit - time geometric distribution. by an application of the key renewal theorem in the case of the lattice distribution we derive lundberg bounds, cramer - lundberg approximations to the ruin probability and finite - horizon lundberg inequalities

    本文利用經典風險模型的思想，對索賠到達時間間隔服從虧時幾何分佈的連續時間風險模型做了進一步的研究，應用關鍵更新定理（格點分佈的情形） ，得到了破產概率的lundberg界， cram r - lundberg逼近以及有限時間破產概率的lundberg不等式。
  8. On this basis a nonlinear filtering technique of sequential monte carlo particle filter based on bayesian approach is emphatically disussed which the posterior distribution of the state variables can be represented by a set of weighted particles, so the method base advantages over the above algorithms in robustness and accuracy for nonlinear non - gaussian filtering problems

    在此基礎上重點論述了一種基於貝葉斯原理的序貫蒙特卡羅粒子濾波技術，該方法通過粒子的加權和表徵后驗概率密度，獲得狀態估值，在處理非線性非高斯系統的狀態估計問題時精度逼近最優，魯棒性更好。
  9. 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。
  10. Aes - ccm mode use counter mode application simple, systematic expense little, may raise the efficiency of encryption. aes algorithm is presented in allusion to differential cryptanalysis and linear analysis. therefore, the security of aes algorithm in current stage have enough guarantee

    而aes演算法是針對差分分析和線性分析提出的，它的最大優點是可以給出演算法的最佳差分特徵的概率及最佳線性逼近的偏差界，具有抵抗差分密碼分析及線性密碼分析的能力，因此aes演算法的安全性在現階段是有足夠保障的。
  11. The paper combines artificial neural network, fuzzy inference system, system identification, and does a thorough research on fuzzy - neural network. the research results are as follows : in this paper, we propose a new neuro - fuzzy systems with laplace ( probability density function ) membership function, and proved its universal approximation property by using weierstrass theorem. we get excellent modeling results for nonlinear systems by applying the new neuro - fuzzy model

    本文融合了人工神經網路、模糊推理系統、系統辨識等理論，並圍繞神經網路和模糊推理的結合體? ?模糊神經網路，展開了深入地研究，主要完成了如下研究工作：本文提出一種新型的帶laplace （概率密度函數）型隸屬函數的模糊神經網路模型，並應用微分中值定理和weierstrass定理證明它的通用逼近性。
  12. The pheromone - based parameterized probabilistic model for the aco algorithm is presented as the solution construction graph that the combinatorial optimization problem can be mapped on. based on the solution construction graph, the unified framework of the aco algorithm is presented. an iterative update procedure of the solutions distribution in the problem ' s probabilistic model is proposed, that will converge to the optimal solutions with probability one, then the minimum cross - entropy pheromone update rule is proposed to approximate the iterative update procedure by minimizing the cross - entropy distance and monte - carlo sampling

    基於解空間參數化概率分佈模型，首先提出了一個以概率1收斂于最優解的解空間概率分佈的迭代更新過程，然後提出了通過最小化不同分佈間的交互熵距離以及蒙特卡洛采樣來逼近此迭代過程的最小交互熵信息素更新規則，接著分別給出了弧模式以及結點模式信息素分佈模型下的最小交互熵等式。
  13. Based on probability density approximation, a novel unsupervised feature ranking approach was proposed and could be applied to feature selection

    摘要依據概率密度逼近提出了一種新的無監督特徵排序，應用於特徵選擇降維。
  14. 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。
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