random algorithms 中文意思是什麼

random algorithms 解釋
隨機演算法
  • random : n 〈罕用語〉胡亂行為，偶然的[隨便的]行動[過程]。adj 1 任意的，胡亂的，隨便的；（話等）信口亂說的...
  • algorithms : 演算法式
  1. Then the author focus on schemes including identification, digital signature and deniable authentication, and several classical algorithms are addressed as well. in addition, we analyze the differences between standard security paradigm and random oracle paradigm. based on all above, by using elliptic curve, we establish a new identification scheme and its corresponding digital signature scheme under random paradigm

    文章詳細的分析了認證系統的三種類型，即身份認證、數字簽名和消息認證，剖析了一些經典的方案，並對標準安全模式與隨機oracle模式做出比較，並基於隨機oracle模式提出了一個新的身份認證演算法及其相應的數字簽名變形，兩個演算法均在橢圓曲線上實現。
  2. To sum up, tested and validated by data sets of shenzhou iv unmanned spacecraft and precise orbit ephemeris, the algorithms presented in the thesis can improve orbit accuracy and reduce random noise considerablely. derived conclusions have important value for reference, and lay the firm technological foundation for future applications

    總之，經過神舟四號飛船實測數據計算和精密星歷檢驗，表明本文提出的各種定軌方法可以較好的提高定軌精度，減少隨機噪聲，所得出的結論對于實際應用具有重要的參考價值，並為將來的應用奠定了堅實的技術基礎。
  3. 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。
  4. Simulation experiments show that the pitch extracting results of the algorithm are superior to that of the conventional algorithms, overcoming the random errors and multiple or half frequency errors, especially robust at low snr

    模擬實驗表明，該演算法與傳統方法相比其基音檢測結果有明顯的改善，克服了隨機錯誤及倍頻、半頻錯誤，並且在低信噪比下魯棒性較好。
  5. On the basis of summarizing current fractal dimension algorithms, the random midpoint replacement algorithm was employed to obtain interpolating point according to the fractal features of remote sensing image, so the current widely used triangular prism method was improved

    摘要在總結現有分形維數計算方法的基礎上，根據遙感影像的分形特性，利用隨機中點替代法獲取插值點，從而對目前普遍使用的三稜柱面法進行了改進。
  6. Random number generators are used in many areas including computer simulation, monte - carlo techniques on numerical analysis, test problem generation for the performance evaluation of computer algorithms, statistical sampling, and so on

    隨機數發生器在很多領域有廣泛的應用，包括計算機模擬、數值分析上的蒙特卡羅方法、評估演算法的測試問題、統計抽樣等等。
  7. Meanwhile, the paper analysis shortage of the methods commonly used heating insulating oil, investigate principles of traditional pid control and fuzzy control, integrats the advantage of two control algorithms, makes use of fuzzy + pid control algorithm to control insulating oil temperature, and has designed fuzzy + pid controller. through matlab simulation, validates that wavelet hard threshold vale de - noise method can effectively reduce the impact of random disturbance

    同時，論文分析了常用加熱絕緣油方法的不足，在研究傳統pid控制和模糊控制原理基礎上，綜合兩種控制演算法的優點，在絕緣油介損測量系統中，提出採用模糊+ pid控制演算法對絕緣油溫度進行控制，並實現了模糊+ pid控制器的設計。
  8. Recently years, there is a new optimization method named genetic algorithms ( ga ) which is based on the numbers of genus groups. this method is a kind of random searching method which simulated natural selection and evolution. compared with traditional optimization method, genetic algorithms has two notable characters. one character is latent parallel and the other is seaching in the whole area. and genetic algorithms has some advantage which traditional method do n ' t have, for example, in genetic algorithms we did n ' t need the calculation of grade

    遺傳演算法[ geneticalgorithms ，簡稱ga ]是近些年來出現的一種模仿自然選擇與進化的基於種群數目的隨機搜索演算法，是優化領域的一個新成員。與常規優化演算法相比，遺傳演算法具有隱含并行性和全局搜索特性這兩大顯著特徵，並具有一些常規優化演算法所無法擁有的優點，如不需梯度運算等。
  9. Two composing test paper algorithms are raised based on the maths module : random mix algorithm on mark, genetic algorithm. analyzes the results of these two ways to decide that when which way are used

    在建立組卷數學模型的基礎上，提出兩種組卷演算法：面向分值的隨機混合演算法和遺傳演算法，對兩種方法組卷的時間、質量進行對比、評估、分析，確定最優演算法。
  10. A modified genetic algorithm ( mga ) framework was developed and applied to the flowshop sequencing problems with objective of minimizing mean total flowtime. to improve the general genetic algorithm routine, two operations were introduced into the framework. firstly, the worst points were filtered off in each generation and replaced with the best individuals found in previous generations ; secondly, the most promising individual was selectively cultivating if a certain number of recent generations have not been improved yet. under conditions of flowshop machine, the initial population generation and crossover function can also be improved when the mga framework is implemented. computational experiments with random samples show that the mga is superior to general genetic algorithm in performance and comparable to special - purpose heuristic algorithms. the mga framework can also be easily extended to other optimizations even though it will be implemented differently in detail

    提出了一個改進遺傳演算法的結構，並且應用於帶有目標是最小平均總流程時間的流水調度排序中.為了改進一般遺傳演算法的程序，兩個新的操作被引進到這個操作中.這兩個操作為： 1 ）過濾操作：過濾掉在每一代中的最壞的個體，用前一代中的最好的個體替代它； 2 ）培育操作：當在一定代數內演算法不改進時，選擇一個培育操作用於培育最有希望的個體.通過大量的隨機產生的問題的例子的計算機實驗顯示出，提出的演算法的性能明顯好於一般遺傳演算法，並且和此問題的最好的專門意義的啟發式演算法相匹配.新的mga框架很容易擴展到其它最優化當中，只是實施的詳細的步驟有所不同
  11. The aim of this paper is to propose a new method that is creatively based on the character of irrational number, the digital have no limit and no period. this article research some algorithms such as expending the irrational number to the arbitrary figure, initialing data and generating random number

    本文提出了一種新的產生隨機數的方法，創造性的運用無理數數字無限不循環的特性，論文研究涉及將無理數展開到任意位、通過計算機位數決定數據范圍並分組初始化數據、生成隨機數等主要演算法，主要用c和vb語言實現。
  12. Afterwards, combining mathematical model with simulation model, the moving air traffic flow in airport was further analyzed ; the algorithms of random flight generation, departure waiting list and taxiing flow optimization was proposed to construct the airport practical evaluation model

    然後，結合數學規劃模型和模擬模型，進一步分析了機場空側系統空中交通流的運動情況，提出了隨機飛機流增減演算法、跑道頭離場等待隊列和滑行飛機流優化演算法，構建以實際飛行計劃為依據的機場實際容量評估模型。
  13. Three algorithms for pseudo - random fsk / psk radar signals ’ sidelobe suppression such as spectrum modifying, direct mismatch filters and neural network. 3. using adsp 21160 to design dsp programs with assembly and c languages for the three algorithms mentioned above on visualdsp + + 3. 5 integrated development environment

    3 .用adi公司的sharc系列晶元adsp21160 ，在visualdsp + + 3 . 5集成開發軟體平臺上，完成以上三種旁瓣壓縮演算法實現的匯編、 c語言程序設計和調試工作。
  14. This course examines how randomization can be used to make algorithms simpler and more efficient via random sampling, random selection of witnesses, symmetry breaking, and markov chains

    這課程研究如何用亂數並透過隨意抽樣、隨機選擇證物、破壞對稱以及馬可夫鏈使得演演算法更簡單和更有效率。
  15. In contrast to conventional optimization algorithms whose iterates are computed and analyzed deterministically, randomized methods rely on stochastic processes and random number / vector generation as part of the algorithm and / or its analysis

    傳統的最優化演算法中迭代的計算和分析是確定的，與之相比，隨機方法依靠隨機過程和隨機數字/向量的生成作為演算法和（或）演算法分析的一部分。
  16. Based on the comparing analysis and character of clustering algorithm the simulated annealing （ sa ） algorithms was applied to the data clustering. simulated annealing （ sa ） algorithms are random search techniques based on physical annealing process, which can prevent the optimizing process into local optimization and get the global optimization

    演算法以優化過程的求解與物理退火過程的相似性為基礎，通過接受準則和對下降溫度的控制，能夠有效的克服優化過程陷入局部極小從而獲得全局最優解。
  17. 2. aiming at derivative security with nonlinear payment function and the “ fat tails ” in the financial data, we induce the definitions of var in chapter 5 and discuss its characters from both the cash value and the returns ratios as a random variable. moreover, we deliberate the algorithm of var in detail and the advantages & disadvantages of the various algorithms

    2 .針對具有非線性支付函數的衍生產品以及金融數據明顯的「厚尾」現象，本文第五章對風險價值（ var ）分別從現金價值和收益率作為隨機變量兩方面進行歸納定義，討論了var的性質，並詳細研究了var的演算法及各種演算法的優缺點。
  18. With the simulation and analysis using matlab, this paper studied a method to design low sidelobe fsk / psk radar signal with genetic algorithm and three algorithms for pseudo - random fsk / psk radar signal sidelobe suppression

    本文討論了一種用遺傳演算法設計低旁瓣水平fsk / psk信號的方法和三種偽隨機fsk / psk信號旁瓣抑制演算法，並用matlab進行了模擬分析。
  19. Standard shortest path algorithms ( such as the dijkstra algorithm ) are not valid, since travel times are random, time - dependent variables. especially, the recognition version of the stochastic shortest path problems is np - complete. k expected shortest paths problem shown in this paper is one of these problems

    傳統的最短路徑方法不能解決這種非線性路徑耗費的路徑問題，尤其是同時具有隨機性和時間依賴性的網路使得最優路徑問題成為np完全問題，本文研究的k期望最短路徑就是這樣的問題之一。
  20. Now we shall list our contribution to the transportation problem : ( 1 ) expected value goal programming, chance - constrained goal programming model and dependent - chanced goal programming model of random transportation are constructed ; ( 2 ) expected value goal programming, chance - constrained goal programming model and dependent - chanced goal programming model of fuzzy transportation are constructed ; ( 3 ) expected value goal programming, chance constrained goal programming model and dependent - chance goal programming model of rough transportation problem are constructed ; ( 4 ) enlightened by liu ’ s thought that solve the uncertain programming with hybrid intelligent algorithm, we design a hybrid intelligent algorithm, that is, genetic algorithms based on simulation to achieve the approximate best solution of the nine above mentioned models

    得到如下主要結果: （ 1 ）建立了隨機運輸問題目標規劃的期望值模型、機會約束規劃模型、相關機會規劃模型; （ 2 ）建立了模糊運輸問題目標規劃的期望值模型、機會約束規劃模型、相關機會規劃模型; （ 3 ）建立了粗糙運輸問題目標規劃的期望值模型、機會約束規劃模型、相關機會規劃模型; （ 4 ）受liu等人提出的用混合智能演算法求解不確定規劃的思想的啟發，結合運輸模型的特殊結構，設計了一種基於模擬的、求解不確定性運輸問題的遺傳演算法。
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