隨機法演算法 的英文怎麼說

中文拼音 [suíjīfǎyǎnsuànfǎ]
隨機法演算法 英文
randomized algorithm
  • 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
  • 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...
  • 演 : 動詞1 （演變; 演化） develop; evolve 2 （發揮） deduce; elaborate 3 （依照程式練習或計算） drill;...
  • 算 : Ⅰ動詞1 （計算數目） calculate; reckon; compute; figure 2 （計算進去） include; count 3 （謀劃;計...
  • 隨機 : random stochasticrandom
  1. Sequentially, the author discussed the technologies of medical image 3d visualization according to the clinical applications. with the development of computer, 3d visualization and computer graphics, the 3d visualization of medical images has progressed from fourier transform and convolve inverse projection to mpr ( multi - planar reformation, mpr ) and mtp ( maximum intensity projection, mtp ), nowadays, the real 3d reconstruction method, surface and volume rendering has risen. the image registering, image segmentation, pixel data set construction and 3d special interpolation are the key technologies in medical images 3d reconstruction

    隨著計算機技術、三維可視化理論和計算機圖形學的發展，醫學圖像的三維可視化技術也從傅立葉變換、卷積反投影等基本圖像處理演算法，發展到真正的三維重建演算法：面繪制和體繪制；醫學圖像的三維可視化技術的應用也從三維醫學成像發展到虛擬內窺鏡，以及今天的虛擬可視化人體研究；而圖像的配準、圖像分割、體數據集的構建、三維空間插值則是醫學圖像三維可視化實現過程中的關鍵技術環節。
  2. Abstract : since the multiple failures situation is not uncommon in the clinical medicine, we explore the use of proportional odds model to the multivariate interval - censored data. the approach is based on the conditional logistic regression, which prevents the complications in the existence of nuisance parameters. the estimation of parameters is obtained by the newton - raphson algorithm. the sandwith estimator for the covariance is made according to the situation where there is correlation in the score statistic. simulations are also presented to assess the accuracy of the procedure

    文摘:探索比例優勢模型在臨床醫學中常見的多結局區間截斷數據中的應用.用條件的邏輯回歸方法避免討厭參數的估計，用牛頓-拉普森演算法估計回歸系數，用"夾心方差"估計量作為參數方差的估計.通過隨機模型檢驗模型應用的有效性
  3. Randomized algorithms ; learning theory ; robust control

    隨機化演算法學習理論魯棒控制
  4. Robust control design based on randomized algorithms

    基於隨機化演算法的魯棒控制器設計
  5. The first algorithm is low precise but simple and credible, the second is high precise but complex and incredible. 4 ) developed four kinds of methods aimed to improve precision and credibility of navigation system. the first is parallel sandia inertia terrain - aided navigation ( psitan ) ; the second is tercom + sitan, it can restrain two important disadvantages of sitan ; the third is particle filter - based terrain - aided navigation ( pftan ), the particle filter can reduce the error of navigation ; the last is tercom + pftan, where tercom is looked as monitor to ensure the credibility of navigation system

    採用并行sitan方法來提高導航精度，並克服奇異值問題；提出了tercom + sitan方法，綜合利用兩者的優點，在保持sitan導航精度的前提下，有效地克服了sitan的兩個缺點；提出了一種基於連續蒙特卡洛濾波（常被稱為particlefilter ）的地形匹配演算法（ pftan ） ，有效地克服了利用sitan時由於地形隨機線性化帶來的誤差，使導航精度有較大的提高；提出了tercom作為監視器的地形輔助導航思想，並將其應用到連續蒙特卡洛方法上，較大地增加了系統的可靠性和精度。
  6. And gave priority to the eular - bernonulli beam model, the simply and convenient analytical resolution for the response of the pipelines under dynamical traffic loads through the impulse function and the congruence method of the vibration form and so on. during the analysis of the chanmical results of the pipelines, the randomicity of the output of the pipelines response was taken into accout. so the stochastic process method was applied to describe the probability characters of the pipelines response, which made the results truer, more veracious

    本文採用eular - bernonulli梁模型和tomosimko梁模型對動力下kelvin粘彈性地基中管道固有振動性狀進行了分析，提出了各力學結果描述的解析式；並以eular - bernonulli梁模型為主，基於脈沖函數、振型迭加法等對管道在動力交通荷載作用下的管道響應問題提出簡單便捷的解析演算法；在管道受力結果的分析中，考慮管道響應輸出的隨機性，將管道響應用隨機過程來描述其概率特徵，使得結果描述更加真實準確。
  7. To simulate the preparation of the secret - key, a gaussian random number generator in fpga is designed, which based on the analysis of ziggurat algorithm

    為了模擬密鑰的制備，在分析ziggurat演算法的基礎上完成了高斯隨機數發生器的fpga實現。
  8. To deal with the question that how we can guarantee the dna sequences which are stored in the personal dna database are anonymous, that no one can find out whom a special dna sequence is collected from, this paper get a new method ? savior, by improve dnala ( dna lattice anonymization ), which is a method settling this question. savior replaces the multiple alignment in dnala with pairwise alignment between every tow sequences, and replaces the greedy algorithm in dnala with stochastic hill - climbing. for doing this, it can save the time for data pretreatment, and add the precision of classing

    針對個人dna數據的隱私保護問題，即:如何保證無法將存儲在數據庫中的dna序列信息與其提供者的個人身份信息（如:姓名，身份證號碼等）聯系起來，本文對一種新近開發的隱私保護方法? dnala （ dnalatticeanonymization ）進行了改進，在數據預處理階段，用兩兩雙序列比對代替了原演算法中的多序列比對，在不降低處理精度的情況下減少了數據預處理所耗費的時間;用隨機爬山法代替了原演算法中的貪心策略，增加了演算法後期處理的精度，從而形成了一種新的演算法? savior 。
  9. 6 albert r, jeong h, barabasi a l. internet : diameter of the world - wide web

    為此提出了一些改進演算法，如tyler的隨機gn演算法， radicchi的邊聚類系數演算法。
  10. Particle swarm optimization ( pso ) is inspired by social behavior of bird flocking or fish schooling. it is a population - based, self - adaptive search optimization technique. pso is simple in concept, few in parameters, and easy in implementation

    粒子群優化演算法（ particleswarmoptimization ， pso演算法）源於鳥群和魚群群體運動行為的研究，是一種基於種群搜索策略的自適應隨機演算法，是進化計算領域中的一個新的分支。
  11. An improved interactive dynamic multimedia synchronization model ( idsm ) based on tpn is proposed. the new model takes the dynamic synchronization properties and the demands of the priority of key medium and the function of user interaction in the distributed systems into account, introduces the allowed blocking time, backtracking rules and so on to handle the problems caused by random delay, blocking or lost packets, and describes the temporal behavior of multimedia information stream fully, accurately and formally. 4

    提出了一個新的基於tpn網的互動式多媒體動態同步模型idsm ，該模型充分考慮到分散式環境中多媒體的動態同步特性以及關鍵媒體的優先權和人機交互要求，通過引入容許阻塞時間、回溯演算法等有效克服了網路隨機延遲、阻塞和丟包等因素的影響，以形式化的方式完整、準確地描述了多媒體信息流的時間行為。
  12. With the progress of computer science, image processing and character recognition, it has been possible for us using computer to identify the information in id card image automatically

    隨著計算機技術、圖像處理和字元識別演算法的成熟，利用計算機進行身份證自動識別錄入已經成為可能。
  13. The flow scheme of the complex separation could be expressed directly by using gp ' s special hierarchical structure and the problem of different meanings encountered by other stochastic algorithms for expressing distillation system could be solved

    演算法利用層次化結構來直觀地表達復雜分離流程，同時解決了其他隨機演算法編碼在表達精餾過程時的歧意性問題。
  14. We use the principle of decomposition - coordination of large - scale systems, fuzzy theory and ann technique to solve the real time arterial coordinated control problem

    由於採用了相序優化，因此該演算法能更有效地處理隨機性較大、不確定性較強的交通流。
  15. The traditional non - essa only gives a max value of. but when the is very small, the non - essa ' s speed will become slower and result will bring error

    當計算出的值較小時，非精確隨機型演算法的速度會很慢，甚至出現誤差。
  16. To overcome this difficulty, a newly proposed random search algorithm particle swarm optimization was applied to a global optimization method for the wastewater treatment network design

    因此，提出了應用新型隨機型演算法粒子群優化演算法求解上述復雜非線性最優化問題。
  17. Because the stochastic algorithm depends much on the random number generator, we also introduce how to implement all kinds of generator in detail. the non - essa has their application range

    由於隨機型演算法對隨機數產生器有較大的依賴，在論述隨機型演算法時介紹了隨機型演算法中用到各種隨機數產生器的實現方法。
  18. It is shown that randomized algorithms can decrease the computational complexity dramatically instead of seeking worst case guarantees. in addition, examples in this paper show that employing randomized algorithms is very efficient and has obvious advantages especially when uncertain interval parameters appear multilinearly or nonlinearly in the characteristic polynomial coefficients

    研究表明，在不考慮最壞情況的意義下，隨機化演算法可以顯著降低計算復雜性，另外，當不確定區間參數以多線性或非線性的方式出現在特徵多項式系數中時，採用隨機化演算法具有明顯的優點並且是非常有效的，文中給出了計算實例。
  19. This paper combines learning theory with robust control and discusses robust control design problems involving real parameter uncertainty in control systems based on randomized algorithms

    將學習理論與魯棒控制相結合，採用隨機化演算法針對實參數不確定系統討論了魯棒控制器的設計問題。
  20. 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。
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