markov model 中文意思是什麼

markov model 解釋
馬爾柯夫模型
  • markov : 馬爾科夫
  • model : n 1 模型，雛型；原型；設計圖；模範；（畫家、雕刻家的）模特兒；樣板。2 典型，模範。3 （女服裝店僱...
  1. Back - propagation approach to discriminative training of hidden markov model

    隱馬爾可夫模型的一種有區分力的反向傳播訓練方法
  2. Partial root root estimator of parameters in gauss - markov model

    模型參數的部分根方估計
  3. This thesis tries to update the cmdsr system to achieve the characters below : real - time, better robust, higher recognition rate, non - special - man. considering the disadvantages of traditional improved spectrum subtraction speech enhancement, this thesis proposes the theory of fuzzy spectrum subtraction based on the fuzzy theory and improved spectrum subtraction speech enhancement ; as for the difficulties of detecting the endpoint of speech signal, the thesis gives the table of initial and the improved parameters, with which we can confirm the endpoints of mandarin digit speech ; the thesis puts forward two - level digit real - time speech recognition system, the first level is based on discrete hidden markov model which is linear predictive coding cepstrum ( lpcc ) and difference linear predictive coding cepstrum ( dlpcc ), the second level is based on formant parameters ; as for the realization of hardware, the thesis depicts the realization of every part of cmdsr based on the tms320vc5402 in detail ; as for the development of software, the thesis gives the software design flow chart of cmdsr, simulates the basic theory with matlab language and gives the simulation results

    針對傳統的「改進譜相減法語音增強」參數設定單一、環境適應能力差的缺點，提出了一種利用模糊理論和「改進的譜相減法」結合的「模糊譜相減法語音增強」 ;針對語音信號端點檢測困難的特點，通過matlab模擬試驗，給出了能夠準確確定數碼語音端點的初始和改進參數表;提出了利用基於線性預測編碼倒譜參數和差分線性預測編碼倒譜參數相結合的離散隱含馬爾可夫模型進行第一級識別、利用共振峰參數進行第二級識別的兩級漢語數碼語音識別系統，在保證系統實時性的同時，實現連接漢語數碼語音識別系統識別率的提高;在硬體實現上，詳細闡述了基於tms320vc5402的連接漢語數碼語音識別系統各部分硬體設計;在軟體開發上，給出了連接漢語數碼語音識別的軟體設計各部分的流程圖，並對各部分進行了matlab模擬，並給出了模擬結果。
  4. Segmental training scheme for embedded hidden markov model

    模型的分段訓練方法
  5. Experimental results show that the cascading of the speech enhancer and a hidden markov model ( hmm ) based speech recognizer can significantly improve recognition accuracy in noisy environments without performance degradation for clean speech

    通過3種不同的增強演算法用於純凈語音和3種類型帶噪語音的實驗結果分析比較表明，這一方法對純凈語音的識別精度幾乎沒有任何改變而大大提高了系統的抗噪聲性能。
  6. Linear sufficiency in the general gauss - markov model

    模型的線性充分性
  7. At first, the text is segmented to words and converted to a sequence of part - of - speech tags ; then based on the pos tags sequence parameters and phrase - break distance information from training, markov model is used to get the most likely phrase break sequence

    首先，文本進行分詞，並轉換為一列由詞性標記所組成的序列；然後使用馬爾可夫模型，利用人工標注數據庫訓練詞語連接處詞性標注序列的概率分佈和連接類型序列的距離信息，得到輸入的詞性標記序列對應的具有最大似然概率的連接類型序列，最後利用后處理規則進行適當的糾錯。
  8. A markov model is used for calculation of dcf throughput. it is disclosed that the key parameters are the number of contending stations and the length of contention window. the maximum throughput and the best parameters are offered by theoretical analysis

    對dcf部分，利用markov模型推導網路吞吐量性能，指出競爭站點數和競爭窗口長度是關鍵性能參數，從理論上給出最大吞吐量和最優參量值。
  9. Aaviksoo, k., ( 1995 ), simulating vegetation dynamics and land use in a mire landscape using a markov model. landscape and urban planning, 31 ( 1 - 3 ) : 129 - 142

    廖怡雯， （ 2003 ） ，運用馬可夫鏈模式于臺中市土地利用變遷之研究，碩士論文。私立逢甲大學土地管理學系。
  10. This thesis focuses on techniques of dynamic fault tree in system reliability modeling and its qualitative and quantitative analysis. it studies bdd solution for static sub trees 、 markov chain solution for dynamic sub tree briefly and the modularization of dynamic fault tree ; presents the algorithm for top event occurrence rate of dynamic fault tree based on weibull distribution. then this thesis presents a new approach to solve top event occurrence rate and a new generation algorithm of minimal cut sequence of dynamic fault tree that deviate from markov model completely

    本文著眼于動態故障樹在系統可靠性建模及定性定量分析中的技術，研究了基於bdd的靜態子樹分析方法、基於馬爾可夫模型的動態子樹分析方法以及動態故障樹模塊化方法，並提出了基於威布爾分佈的動態故障樹頂事件發生概率計算方法;提出了一種完全脫離馬爾可夫模型的求解動態故障樹頂事件發生概率的方法和一種最小順序割集的生成方法。
  11. In this thesis, an algorithm based on multiple features for recognition of escherichia coli promoter was proposed. firstly, word frequency method was utilized to extract the content ’ s information of a given sequence, and position weight matrix and hidden markov model were applied to analyze the information on structure, and then this information was input into a classifier

    本文提出了一種基於多特徵的大腸桿菌啟動子判別演算法，即通過詞頻分析獲得序列的組成特徵，利用位置權重矩陣（ pwm ）和隱馬爾科夫模型（ hmm ）獲得序列的結構特徵，然後輸入到一個分類器中進行分類。
  12. Large - alphabet chinese text compression using adaptive markov model and arithmetic coder

    使用調適馬可夫模型與算術編碼之大字符集中文文本資料壓縮
  13. Caption recognition feature extraction using wavelet transformation and the combination of statistical language model and hidden markov model methods finally achieved the identification of caption

    基於統計機器學習的字幕識別提取小波變換的特徵並使用隱馬爾可夫模型和統計語言模型的識別技術相結合的機器學習方法，實現字幕文字的識別。
  14. We investigated the architectures of three typical computer fault - tolerant systems such as triple modular admixture redundancy system, buildup dual computer comparing system and dual computer comparing system with hot standby, and descript them with the markov model. the reliability and safety model of these fault - tolerant systems are acquired through theoretical analyzing and calculating. with analyzing, we defined the systems " task interval available time section in reason, compared their reliability and safety and evaluated their reliabilities

    具體針對三模混合冗餘、增強型雙機比較及帶熱備份的雙機比較三種典型體系結構的計算機容錯系統進行了研究，統一用馬爾可夫模型進行描述，通過理論分析和計算，獲得各體系結構容錯系統的可靠度與安全度的數學模型；通過分析，合理定義了系統的任務工作期區間，並在此區間上比較分析了各體系結構容錯系統的可靠度與安全度情況，從而對各系統的可靠性指標進行了評價；根據上述三種系統的數學模型，在考慮系統故障覆蓋率與維修率兩個參數對系統可靠度與安全度影響的情況下，用matlab語言編制了計算機模擬程序。
  15. Finally, the theoretical analysis of the reliability of the axis - counting system has been made the reliability modeling adopts the combining and markov model. by analyzing systematic math model, we get the reliability of the two strategies of returning maintenance as well as the increasing parameter

    可靠性建模分別運用組合模型與馬爾可夫模型進行，通過對系統數學模型分析，得到了採用返場維修與現場維修兩種策略的可靠性及其增長參數。
  16. Furthermore, a new elastic matching algorithm is designed with the combination of shape blending, which is based on physical elastic model, and a distinct improvement of performance is achieved. chapter 4 is mainly focused on recognition approaches using hidden markov model. firstly, the general concepts and algorithms of hidden markov model are described, and then, a new model called ddbhmm is discussed and compared with the classic model in detail

    文中首先介紹了一種自適應形態校正技術，隨后討論了彈性匹配中的一些基本演算法及存在的問題，並在此基礎上研究了一種新的彈性匹配演算法，其主要特點是在匹配演算法中引入了一種基於物理模型的形變度量，能夠有效地改善原有演算法的性能。
  17. This paper presents the conversion from dynamic logic gate to markov chain, the solution of dynamic subtree top event failure probability and the method of obtaining the failure mode of subsystem using markov model, that is sequence cutsets of the dynamic subtree. the typical approach to importance analysis of component is impractical for large systems in markov model, so this paper also provides a simple and intuitionistic graph solution based on markov chain

    論文研究了動態邏輯門向馬爾可夫鏈的轉化方法，利用馬爾可夫鏈法求解動態子樹頂事件概率，以及通過馬爾可夫狀態轉移圖直接找齣子系統的故障模式和薄弱環節，即得到動態子樹的順序割集。
  18. The empirical result of analyzing here can be concluded as follow : the error of markov model is the smallest, tow - factor is the second smallest, and heuristic model is the smallest

    實證結果得知在有限資料筆數下，馬可夫模式預測結果較佳，二因子模式次之，引導式模式第三。
  19. In the thesis, we select the mel - frequency cepstrum coefficients based on analyzing a lot of parameters of speech signal. mel cepstrum is of better recognition and anti - noise capability. ( 2 ) dynamic time warping, vector quantization, hidden markov model and artificial neural network can be used in speaker recognition

    （ 2 ）現有的說話人識別方法有動態時間規整法、矢量量化法、隱馬爾可夫模型和神經網路法等，其中hmm已成為目前最佳的說話人識別處理模型。
  20. The uyghur pos tagging is studied by applying the probabilistic method and the unigram hidden markov model ( hmm ) is adopted

    本文採用了一階隱馬爾可夫模型，並且通過rft相對概率訓練獲得了模型參數。
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