probability theory approach 中文意思是什麼

probability theory approach 解釋
概率理論著手法
  • probability : n 1 或有；或然性。2 【哲學】蓋然性〈在 certainly 和 doubt 或 posibility 之間〉。3 【數學】幾率，...
  • theory : n. 1. 理論，學理，原理。2. 學說，論說 （opp. hypothesis）。3. 推測，揣度。4. 〈口語〉見解，意見。
  • approach : vt 1 向…接近，走近；使接近。2 探討；看待，對待，處理。3 向…接洽[提議]。4 〈美國〉企圖收買。vi 臨...
  1. The thesis mainly recounts the detail questions about bayesian small sample theory and the important applications of the theory in engineering, and gives sufficient analyses and discussion of every step of accomplishing a precision evaluation when using small samples. in the thesis, the following issues are contained, such as how to get and denote the prior information, the consistence test of prior information and test samples of shooting range, the fusion of multi - source information, calculating of posterior probability, estimation with bayesian approach, how to constitute test evaluation project of different performance and calculate the risks of both sides are contained, and at last a kind of applied method to calculate the effectiveness is given

    論文主要敘述了有關bayes小樣本理論的一些具體問題，以及該技術在工程中的一些關鍵應用，對小樣本條件下精度鑒定的各個環節給予較充分的分析和討論，其中包括驗前信息的獲取、表示，驗前信息和靶場試驗樣本的一致性檢驗，多源信息的融合，驗后概率的計算， bayes方法在估計中的應用，試驗鑒定方案的制定，對不同戰標的評估方法和風險的計算等，最後對作戰效能的計算給出了一種工程中較實用的方法。
  2. In chapter 1, we briefly reviewed the risk theory and its development. and the significance about this paper was expressed. in chapter 2, we introduced classical risk model. in which, making this risk process into a strong markovian process is the preparation of deriving the main results. chapter 3 is the main body of the paper, we derived the results about general ruin probability in a kind of continuous time risk model with deficit - time geometry distribution of claim inter - occurrence time. the martingale approach is a good procedure to get the expression of ruin probability about a class of continuous time risk models with deficit - time geometry distribution of claim inter - occurrence time. we also take advantage of change of measure idea from it

    第二章介紹了經典風險模型，其中用逐段決定馬爾可夫過程理論及補充變量技巧，使一類風險模型的盈餘過程成為齊次強馬爾可夫過程。第三章作為本文的主體部分，在索賠到達間隔服從虧時幾何分佈的連續時間風險模型中，索賠額分佈為一般分佈，它的破產概率可以利用pdmp中的廣義生成運算元得出鞅，通過調節系數的選擇以及在相應測度下的測度變換，使得破產概率的一般解可以表示出來。
  3. In the study of risk theory, a class of continuous time risk process with deficit - time geometry distribution of claim inter - occurrence time was made into a strong piecewise - deterministic markov process with the theory of piecewise - deterministic markov process and by introducing a supplementary variable. martingale approach is one of the most powerful methods of pdmp. the programming process is getting the ruin probability from the martingale construction. we use the idea of change of measure in the programming process and find the result and the function of adjustment coefficient

    本文應用逐段決定馬爾可夫過程理論及補充變量技巧，使索賠到達間隔服從虧時幾何分佈的連續時間風險過程成為齊次強馬爾可夫過程，然後利用pdmp中的鞅方法（用廣義生成運算元得出鞅）推導了鞅的形式，作為該風險模型索賠額分佈為一般分佈下的破產概率的一般表達式，其中用到了測度變換的思想。
  4. Similar to percolation, the critical rock fracture model is established by renormalization group theory approach, and the relation between the fracture rules and the critical probability, and the fractal dimension, and the critical exponents is studied

    類似與滲流模型，就巖裂模型我們提出巖裂規則系數的概念。在此基礎上，對該模型進行了研究。得到一些有趣的結論。
  5. Based on above, we proposed the intelligently optimized and comprehensive diagnosis approach - genetic algorithm ( ga ) - based intelligently optimized diagnosis algorithm which is introduced in detail in this paper. following basic theory and approach about ga, optimized objective function is decided through fuzzy logic theory, then fitness function is derived and at last how to optimize and diagnose pattern parameters intelligently is discussed with ga, including coding approach, interlace, probability selection and single copy of optimizing parameters. based on our cooperative engineer, intelligent optimization and noise diagnosis processes are discussed and diagrammized in the software designing

    基於這些理論，我們研究出一種智能優化和綜合智能診斷方法，即基於模糊遺傳演算法（ f ? ga ）的智能優化診斷方法，論文對該方法作了詳細介紹：首先介紹了遺傳演算法的基本理論及方法，接著用模糊推理理論確定優化目標函數，然後根據優化目標函數導出適應度函數，最後介紹了如何用遺傳演算法對花紋參數進行智能優化和噪聲智能診斷的，其中，講述了各個待優化參數的編碼方法、交叉、概率選擇復制個體方法等。
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