probabilistic algorithm 中文意思是什麼

probabilistic algorithm 解釋
概率演算法
  • probabilistic : adj. 1. （天主教教義）蓋然論的，或然說的。2. 概率的，幾率的。
  • algorithm : n. 【數學】演算法；規則系統；演段。
  1. Then the thesis presents a probabilistic viterbi algorithm to segment address block and gets the character. finally, after independent chinese characters are recognized and fitted with address database, we get the address. in this way, automatic recognition of envelope ' s address is realized

    對得到的地址塊提出了一種利用概率型viterbi演算法進行字元切分的方法，最後將切分好的單個字元進行識別，並與地址數據庫進行匹配，從而得到地址，進而實現了信封地址的自動識別。
  2. 2. present a new fast algorithm named joint maximum probabilistic data association ( jmpda ) which can be applied to the hfgwsr by detailed analysis of jpda algorithm

    二、通過對jpda演算法的分解分析，提出適用於本項目實際應用的快速演算法? ?聯合最大概率數據關聯（ jmpda ） 。
  3. This paper focuses attention on using probabilistic simulation to describe this stochastic nature, and adopts the sequential monte - carlo algorithm to simulate each element status in photovoltaic system, and calculating responded reliability indices

    本文的重點是運用概率抽樣描述這種不確定性，採用蒙特卡羅序貫模擬對光伏發電各環節狀態進行概率模擬，並計算相關可靠性指標。
  4. An efficient probabilistic syntactic analysis algorithm uses a table of function words and a set of probabilistic context - free rules containing the function words in the syntactic analysis

    摘要一種有效的漢語概率句法分析演算法通過制定語法功能詞表和包含語法功能詞的概率上下文無關規則集進行句法分析。
  5. Improving the recognition rate of eeg in bci based on genetic algorithm and probabilistic neural network

    基於遺傳演算法和概率神經網路提高腦機介面中腦電信號識別率
  6. A probabilistic algorithm of system - level fault diagnosis based on greedy principle

    基於貪婪演算法的系統級故障的概率診斷
  7. A conformation algorithm for wireless sensor networks with strong probabilistic connectivity robustness

    一種大概率強連通魯棒性的無線傳感器網路構造演算法
  8. The main factors of probabilistic neural network including the hidden neuron size, hidden central vector and the smoothing parameter, to influence the pnn classification, are analyzed ; the xor problem is implemented by using pnn. a new supervised learning algorithm for the pnn is developed : the learning vector quantization is employed to group training samples and the genetic algorithms ( ga ’ s ) is used for training the network ’ s smoothing parameters and hidden central vector for determining hidden neurons. simulations results show that, the advantage of our method in the classification accuracy is over other unsupervised learning algorithms for pnn

    本文主要分析了pnn隱層神經元個數，隱中心矢量，平滑參數等要素對網路分類效果的影響，並用pnn實現了異或邏輯問題;提出了一種新的pnn有監督學習演算法:用學習矢量量化對各類訓練樣本進行聚類，對平滑參數和距離各類模式中心最近的聚類點構造區域，並採用遺傳演算法在構造的區域內訓練網路，實驗表明:該演算法在分類效果上優于其它pnn學習演算法
  9. By employing the state - space model for pulse trains, kalman filter and probabilistic data association, the thesis develops a deinterleaving algorithm for tracking mode in chapter 5. the interacting multiple models ( imm ) approach is implemented to simultaneously estimate the pulse train pris of multiple emitters

    論文第五章引入了基於卡爾曼濾波和概率數據關聯方法進行脈沖列分析和去交錯的研究，為輻射源跟蹤狀態下的去交錯技術提供了理論依據和評估標準。
  10. To resolve the question of tracking highly maneuvering targets in clutter with different sensors, the theory of multi - sensor data fusion and algorithm of joint probabilistic data association have been analyzed in depth. in this thesis, with the using of matlab simulating tool, it accomplished the tracking of three maneuvering targets in clutter and completed the algorithm emulation of every phase in multi - target tracking. from the satisfied result of simulation, the validity of target tracking algorithm in whole data fusion system has been proved

    論文針對多雜波環境下的高度機動目標，依據多傳感器數據融合的理論基礎，基於目標跟蹤領域中的概率數據關聯演算法，對於三個機動目標在雜波環境下的軌跡進行跟蹤，並在matlab環境中，完成了多目標融合跟蹤各個階段的演算法模擬，取得了滿意的模擬結果，從而證明了整個系統的數據融合目標跟蹤演算法的有效性。
  11. The traditional one associates one measurement to each target, which ignores the uncertainty and fuzziness induced by noises. it is easy to get a fault association result when the targets are located densely. the proposed algorithm introduces the idea of probabilistic data association algorithm

    傳統的模糊數據關聯演算法對每個目標分配一個點跡作為其該時刻的測量點跡，它忽略了噪聲及干擾所帶來的信息不確定性及模糊性，在目標密集時易產生關聯錯誤。
  12. We can also see that these algorithms have better performance than the majority algorittim and compete algorithm, which are classic probabilistic algorithm in system level fault diagnosis. a distributed hierarchical diagnosis algorithm is discussed for virtual private networks

    對于診斷正確率，貪婪演算法遠遠好於majority演算法，並好於compete演算法；對于時間復雜度，與majority演算法相當，均為o （ n ~ 2 ） ，要好於compete演算法。
  13. At one time the thesis look back the part parallel interference cancellation detection, and update the algorithm of the multiuser with lms algorithm. at last, the thesis presentes the blind multiuser detection with adaptive algorithm the blind multiuser detection base on kalman algorithm and probabilistic algorithms for blind adaptive multiuser detection

    同時對部分并行干擾多用戶檢測器進行了回顧，並用lms演算法實現了多用戶檢測器的演算法更新。最後對盲多用戶檢測的自適應演算法進行了介紹，構造基於kalman濾波的盲多用戶檢測器，並對隨機梯度演算法進行了誤碼性能的分析。
  14. Based on the theory of probabilistic analysis of power systems, this paper studies the computer realization methods for commitment risk and response risk in generation systems. by using these methods, this paper focuses on the research of unit commitment, allocation and distribution algorithms of spinning reserve, considering the reliability requirement of generation systems. corresponding heuristic algorithm is given in this paper

    本文根據發電系統可靠性的概率分析理論，研究了發電系統中投運風險度和響應風險度的計算機實現方法，在此基礎上，重點討論了結合可靠性分析的機組組合方案、旋轉備用容量的確定和分配方案，並給出了相應的啟發式演算法。
  15. The probabilistic load flow adopts non - sequential monte - carlo simulation algorithm

    概率潮流採用非序貫蒙特卡羅模擬演算法。
  16. The unigram hmm based on the probabilistic method and viterbi algorithm are proved effective in solving the problem of uyghur pos tagging effectively

    實驗證明，基於概率統計的一階隱馬爾可夫模型以及viterbi演算法能有效的解決維吾爾語詞性標注的問題。
  17. Aimed at the simplicity of optimization model of automobile suspended frame, and subjective selection problem and early - maturing problem of probabilistic parameters in genetic algorithm, the flexible multi - body model of automobile suspended frame was established, and an improvement was carried out on genetic algorithm

    摘要針對汽車懸架優化模型簡單、遺傳演算法概率參數主觀選取問題、早熟問題，建立了汽車懸架柔性多體模型，並且對遺傳演算法進行了改進。
  18. Jmpda skillfully avoids calculating of the association probabilistic which has high complexity and costs too much time. in order to use the four channels of hfgwsr, jmpda is combined to parallel filter, thus we obtain the whole algorithm ? ? multi sensor joint maximum probabilistic data association based on parallel filter ( msjmpdapf ) 。 3

    該演算法巧妙的迴避了jpda演算法中復雜度很高耗時嚴重的關聯概率kj ， t的計算，並將改進之後的jmpda演算法應用於多傳感器系統得到msjmpda演算法。
  19. 2. the characteristics of aigner - chu algorithm and probabilistic frontier are analyzed, the calculating process of aigner - chu algorithm is illustrated with an example

    文中還對管理誤差項的假設進行了系統模擬，並分析了模擬結果。
  20. This paper presents a comprehensible mathematics description of the joint probabilistic data association ( jpda ) algorithm. in order to reduce the time ? pace complexity of the jpda algorithm, the method of dividing validation matrix based on the. back track ? pruning technique is proposed in this paper

    本文以易於理解的方式給出聯合概率數據關聯（ jpda ）演算法一個清晰的數學描述，並提出基於回溯剪枝技術拆分有效矩陣，以降低jpda計算的時空復雜度。
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